{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d3309945",
   "metadata": {
    "colab_type": "text",
    "id": "view-in-github"
   },
   "source": [
    "\n",
    "<a href=\"https://colab.research.google.com/github/NeuroDesk/example-notebooks/blob/main/books/structural_imaging/qsmxt.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Google Colab\"/>   </a>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fed47b4b",
   "metadata": {},
   "source": [
    "## QSMxT\n",
    "\n",
    "Author: Ashley Stewart\n",
    "\n",
    "Original paper: https://doi.org/10.1002/mrm.29048"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ckuhhu-sU5V9",
   "metadata": {
    "id": "ckuhhu-sU5V9"
   },
   "source": [
    "## Setup Neurodesk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "Ahb472oJU1YX",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Ahb472oJU1YX",
    "outputId": "7d7a95f1-9b05-4614-97bc-e6d954bcee66"
   },
   "outputs": [],
   "source": [
    "%%capture\n",
    "import os\n",
    "import sys\n",
    "IN_COLAB = 'google.colab' in sys.modules\n",
    "\n",
    "if IN_COLAB:\n",
    "  os.environ[\"LD_PRELOAD\"] = \"\";\n",
    "  os.environ[\"APPTAINER_BINDPATH\"] = \"/content,/tmp,/cvmfs\"\n",
    "  os.environ[\"MPLCONFIGDIR\"] = \"/content/matplotlib-mpldir\"\n",
    "  os.environ[\"LMOD_CMD\"] = \"/usr/share/lmod/lmod/libexec/lmod\"\n",
    "\n",
    "  !curl -J -O https://raw.githubusercontent.com/NeuroDesk/neurocommand/main/googlecolab_setup.sh\n",
    "  !chmod +x googlecolab_setup.sh\n",
    "  !./googlecolab_setup.sh\n",
    "\n",
    "  os.environ[\"MODULEPATH\"] = ':'.join(map(str, list(map(lambda x: os.path.join(os.path.abspath('/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/'), x),os.listdir('/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/')))))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1c268140-a6c5-4abb-b38e-4b86c3c680b4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "vendor_id\t: AuthenticAMD\n",
      "model name\t: AMD EPYC-Rome Processor\n"
     ]
    }
   ],
   "source": [
    "# Output CPU information:\n",
    "!cat /proc/cpuinfo | grep 'vendor' | uniq\n",
    "!cat /proc/cpuinfo | grep 'model name' | uniq"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c423654b-67b3-4f42-89e9-8c752eaba94d",
   "metadata": {
    "id": "c423654b-67b3-4f42-89e9-8c752eaba94d",
    "tags": []
   },
   "source": [
    "# QSMxT Interactive Notebook\n",
    "\n",
    "This interactive notebook estimates Quantitative Susceptibility Maps (QSMs) for two gradient-echo (GRE) MRI acquisitions using [QSMxT](https://github.com/QSMxT/QSMxT) provided by the [Neurodesk](https://neurodesk.org) project."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28e5430f-2e02-4183-ba3d-66fbbe010837",
   "metadata": {
    "id": "28e5430f-2e02-4183-ba3d-66fbbe010837"
   },
   "source": [
    "## What is QSM?\n",
    "\n",
    "QSM is a form of quantitative MRI (qMRI) that estimates the magnetic susceptibility distribution across an imaged object. Magnetic susceptibility is the degree to which a material becomes magnetised by an external magnetic field. Major contributors to susceptibility include iron, calcium, and myelin, with the susceptibility of water typically approximating a zero-reference, though it is slightly diamagnetic. Read more about QSM [here](https://doi.org/10.1002/mrm.25358)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "41c95447-80c5-49c1-954b-50a26ffa23ef",
   "metadata": {
    "id": "41c95447-80c5-49c1-954b-50a26ffa23ef",
    "tags": []
   },
   "source": [
    "## What is QSMxT?\n",
    "\n",
    "[QSMxT](https://qsmxt.github.io) is a suite of tools for building and running automated pipelines for QSM that:\n",
    "\n",
    "- is available open-source without any licensing required;\n",
    "- is distributed as a software container making it straightforward to access and install (Neurodesk!)\n",
    "- scales its processing to execute across many acquisitions through jobs parallelisation (using multiple processors or HPCs) provided by [Nipype](https://nipype.readthedocs.io);\n",
    "- automates steps that usually require manual intervention and scripting, including:\n",
    "  - DICOM to [BIDS](https://bids-specification.readthedocs.io/en/stable/index.html) conversion;\n",
    "  - QSM reconstruction using a range of algorithms;\n",
    "  - segmentation using [FastSurfer](https://github.com/Deep-MI/FastSurfer);\n",
    "  - group space generation using [ANTs](https://github.com/ANTsX/ANTs);\n",
    "  - export of susceptibility statistics by subject and region of interest (ROI) to CSV.\n",
    "\n",
    "![image.png](../images/image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44417598-f83e-46d8-bc4c-ceb61f63e395",
   "metadata": {
    "id": "44417598-f83e-46d8-bc4c-ceb61f63e395"
   },
   "source": [
    "## How do I access QSMxT?\n",
    "\n",
    "There are a few ways you can access QSMxT:\n",
    "\n",
    " - **This notebook**: You can access QSMxT in this notebook right now!\n",
    "   - If you are running this on a Neurodesk Play instance, you can upload your own data into the sidebar via drag-and-drop.\n",
    " - **Neurodesktop**: QSMxT is in the applications menu of Neurodesktop.\n",
    "   - On Neurodesk Play, upload your own data into the desktop via drag-and-drop.\n",
    "   - On a local install of Neurodesk, bring any necessary files into the shared `~/neurodesktop-storage` directory\n",
    " - **Local install**: QSMxT can also be installed via the [Docker container](https://qsmxt.github.io/QSMxT/installation)\n",
    " - **HPC install**: QSMxT can also be installed via the [Singularity container](https://qsmxt.github.io/QSMxT/installation) for use on HPCs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "051e7a38-d270-49a6-800d-6c919c1b0d20",
   "metadata": {
    "id": "051e7a38-d270-49a6-800d-6c919c1b0d20"
   },
   "source": [
    "# Download example DICOMs\n",
    "\n",
    "Here, we download some example DICOMs from our OSF repository for QSMxT.\n",
    "\n",
    "These data include GRE and T1-weighted acquisitions for one subject (duplicated to act as two subjects)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "80e4a8d2-d6bb-48e8-bdd7-36ac3d0c01c6",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "80e4a8d2-d6bb-48e8-bdd7-36ac3d0c01c6",
    "outputId": "098cf81c-5e1d-4862-c09d-b05e759e63cf"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: osfclient in /opt/conda/lib/python3.11/site-packages (0.0.5)\n",
      "Requirement already satisfied: requests in /opt/conda/lib/python3.11/site-packages (from osfclient) (2.31.0)\n",
      "Requirement already satisfied: tqdm in /opt/conda/lib/python3.11/site-packages (from osfclient) (4.66.1)\n",
      "Requirement already satisfied: six in /opt/conda/lib/python3.11/site-packages (from osfclient) (1.16.0)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in /opt/conda/lib/python3.11/site-packages (from requests->osfclient) (3.3.0)\n",
      "Requirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.11/site-packages (from requests->osfclient) (3.4)\n",
      "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/conda/lib/python3.11/site-packages (from requests->osfclient) (2.0.7)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.11/site-packages (from requests->osfclient) (2024.2.2)\n",
      "\u001b[01;34mdicoms-unsorted\u001b[0m\n",
      "├── \u001b[00mMR.1.1.dcm\u001b[0m\n",
      "├── \u001b[00mMR.1.10.dcm\u001b[0m\n",
      "├── \u001b[00mMR.1.100.dcm\u001b[0m\n",
      "├── \u001b[00mMR.1.101.dcm\u001b[0m\n",
      "├── \u001b[00mMR.1.102.dcm\u001b[0m\n",
      "├── \u001b[00mMR.1.103.dcm\u001b[0m\n",
      "├── \u001b[00mMR.1.104.dcm\u001b[0m\n",
      "├── \u001b[00mMR.1.105.dcm\u001b[0m\n",
      "├── \u001b[00mMR.1.106.dcm\u001b[0m\n",
      "...\n",
      "There are 1216 unsorted DICOMs in ./dicoms-unsorted/\n"
     ]
    }
   ],
   "source": [
    "!pip install osfclient\n",
    "!osf -p ru43c clone . > /dev/null 2>&1\n",
    "!tar xf osfstorage/dicoms-unsorted.tar\n",
    "!rm -rf osfstorage/\n",
    "!tree dicoms-unsorted | head\n",
    "!echo -e \"...\\nThere are `ls dicoms-unsorted | wc -l` unsorted DICOMs in ./dicoms-unsorted/\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f5d0ceb7-99cb-4e92-9326-ef69c7453d9a",
   "metadata": {
    "id": "f5d0ceb7-99cb-4e92-9326-ef69c7453d9a"
   },
   "source": [
    "# Load QSMxT\n",
    "\n",
    "To load QSMxT inside a notebook, we can use the available module system:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "598074a5-9f2d-4da3-bf8f-76db9391adeb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO]: QSMxT v7.2.2\n"
     ]
    }
   ],
   "source": [
    "import lmod\n",
    "await lmod.load('qsmxt/7.2.2')\n",
    "!qsmxt --version"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b18f60c8-60d1-4ef5-b21d-083e91230c5d",
   "metadata": {
    "id": "b18f60c8-60d1-4ef5-b21d-083e91230c5d"
   },
   "source": [
    "# Data standardisation\n",
    "\n",
    "QSMxT requires input data to conform to the [Brain Imaging Data Structure (BIDS)](https://bids.neuroimaging.io/).\n",
    "\n",
    "Luckily, QSMxT also provides scripts that can convert unorganised NIfTI or DICOM images to BIDS. If you are using NIfTI images and do not have DICOMs, see [nifti-convert](https://qsmxt.github.io/QSMxT/using-qsmxt/data-preparation#nifti-to-bids)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "770963f9-93df-4c8e-85ac-f732b0e63a34",
   "metadata": {
    "id": "770963f9-93df-4c8e-85ac-f732b0e63a34"
   },
   "source": [
    "## Sort DICOMs\n",
    "\n",
    "Before we can convert DICOMs to BIDS cleanly, we need to sort the DICOMs by subject, session and series.\n",
    "\n",
    "We can sort the DICOMs using `dicom-sort`.\n",
    "\n",
    "Note that this script relies on accurate DICOM header information. If your data is sorted incorrectly, you may need to manually correct the sorting, or sort the files yourself. Be sure to follow the folder structure shown below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8f3859d0-fc95-49c5-b753-e5edd0e511bd",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "8f3859d0-fc95-49c5-b753-e5edd0e511bd",
    "outputId": "bb77d009-a852-41c9-e7ff-04c6456f3c21"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO]: Running QSMxT 7.2.2\n",
      "[INFO]: Command: /opt/miniconda-4.7.12.1/bin/dicom-sort dicoms-unsorted dicoms-sorted\n",
      "[INFO]: Python interpreter: /opt/miniconda-4.7.12.1/bin/python3.8\n",
      "[INFO]: Reading file list...\n",
      "[INFO]: 1216 DICOM files found.\n",
      "[INFO]: Sorting DICOMs in /home/jovyan/example-notebooks/books/structural_imaging/dicoms-sorted...\n",
      "[INFO]: Identified subject: 1\n",
      "[INFO]: Identified session: 1 #1 20170705\n",
      "[INFO]: Identified series: sub-1/ses-20170705/series-6_mp2rage_highRes_0p5iso_slab\n",
      "[INFO]: Identified session: 2 #1 20170705\n",
      "[INFO]: Identified series: sub-2/ses-20170705/series-6_mp2rage_highRes_0p5iso_slab\n",
      "[INFO]: Identified series: sub-1/ses-20170705/series-5_QSM_p2_1mmIso_TE20\n",
      "[INFO]: Identified series: sub-2/ses-20170705/series-5_QSM_p2_1mmIso_TE20\n",
      "[INFO]: Identified series: sub-1/ses-20170705/series-6_QSM_p2_1mmIso_TE20\n",
      "[INFO]: Identified series: sub-2/ses-20170705/series-6_QSM_p2_1mmIso_TE20\n",
      "[INFO]: Finished\n"
     ]
    }
   ],
   "source": [
    "!dicom-sort dicoms-unsorted dicoms-sorted"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12903b39-3d6c-4511-9ab5-1bd564565e02",
   "metadata": {
    "id": "12903b39-3d6c-4511-9ab5-1bd564565e02"
   },
   "source": [
    "Now we can see clearly that there are two subjects, each with one session, each with three DICOM series:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4aaf0f65-6ebf-4889-8df4-0212064bcde3",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "4aaf0f65-6ebf-4889-8df4-0212064bcde3",
    "outputId": "d2768818-70f2-4609-e284-ad1f63e64725"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[01;34mdicoms-sorted\u001b[0m\n",
      "├── \u001b[00mlog_2024-11-15_00-49-26557917.txt\u001b[0m\n",
      "├── \u001b[00mreferences.txt\u001b[0m\n",
      "├── \u001b[01;34msub-1\u001b[0m\n",
      "│   └── \u001b[01;34mses-20170705\u001b[0m\n",
      "│       ├── \u001b[01;34mseries-5_QSM_p2_1mmIso_TE20\u001b[0m\n",
      "│       ├── \u001b[01;34mseries-6_QSM_p2_1mmIso_TE20\u001b[0m\n",
      "│       └── \u001b[01;34mseries-6_mp2rage_highRes_0p5iso_slab\u001b[0m\n",
      "└── \u001b[01;34msub-2\u001b[0m\n",
      "    └── \u001b[01;34mses-20170705\u001b[0m\n",
      "        ├── \u001b[01;34mseries-5_QSM_p2_1mmIso_TE20\u001b[0m\n",
      "        ├── \u001b[01;34mseries-6_QSM_p2_1mmIso_TE20\u001b[0m\n",
      "        └── \u001b[01;34mseries-6_mp2rage_highRes_0p5iso_slab\u001b[0m\n",
      "\n",
      "10 directories, 2 files\n"
     ]
    }
   ],
   "source": [
    "!tree dicoms-sorted -L 3"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a429994e-76c6-4b2c-84c2-135fcd976a4d",
   "metadata": {
    "id": "a429994e-76c6-4b2c-84c2-135fcd976a4d",
    "tags": []
   },
   "source": [
    "## Convert to BIDS\n",
    "\n",
    "Now that the DICOMs are sorted, we can convert to BIDS using `dicom-convert`.\n",
    "\n",
    "The DICOM to BIDS conversion must identify which series should be used for QSM reconstruction (T2*-weighted), and which series should be used for segmentation (T1-weighted). Because this information is not stored in the DICOM header, the user must provide it, or QSMxT can make a guess based on the `ProtocolName` field. By default, QSMxT assumes series matching any of the patterns in `['*qsm*', '*t2starw*']` are to be used for QSM, and series matching the pattern `['*t1w*']` are to be used for segmentation. If series cannot be identified, the user must do so. At minimum, at least one QSM series must be identified.\n",
    "\n",
    "If QSMxT is run interactively, the user will be prompted to identify the relevant series'. However, because we are running QSMxT in a notebook, we disable the interactivity using `--auto_yes` and provide the missing information using command-line arguments (`--t1w_protocol_patterns` and `--qsm_protocol_patterns`). In this case, the T1-weighted scan requires identification, so we pass `--t1w_protocol_patterns \"*mp2rage*\"`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "cafb3971-0710-4caa-aa98-0771b9c3a194",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "cafb3971-0710-4caa-aa98-0771b9c3a194",
    "outputId": "882fd261-bbf1-4980-982c-f33526c141d3",
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO]: Running QSMxT 7.2.2\n",
      "[INFO]: Command: /opt/miniconda-4.7.12.1/bin/dicom-convert dicoms-sorted bids --t1w_protocol_patterns *mp2rage* --auto_yes\n",
      "[INFO]: Python interpreter: /opt/miniconda-4.7.12.1/bin/python3.8\n",
      "[INFO]: Found 2 subjects in '/home/jovyan/example-notebooks/books/structural_imaging/dicoms-sorted'\n",
      "[INFO]: Converting all DICOMs to NIfTI...\n",
      "[INFO]: Running command: 'dcm2niix -z n -o \"/home/jovyan/example-notebooks/books/structural_imaging/bids/sub-1/ses-20170705/extra_data\" \"/home/jovyan/example-notebooks/books/structural_imaging/dicoms-sorted/sub-1/ses-20170705/series-6_QSM_p2_1mmIso_TE20\" >> \"/home/jovyan/example-notebooks/books/structural_imaging/bids/sub-1/ses-20170705/extra_data/dcm2niix_output.txt\"'\n",
      "[INFO]: Running command: 'dcm2niix -z n -o \"/home/jovyan/example-notebooks/books/structural_imaging/bids/sub-1/ses-20170705/extra_data\" \"/home/jovyan/example-notebooks/books/structural_imaging/dicoms-sorted/sub-1/ses-20170705/series-5_QSM_p2_1mmIso_TE20\" >> \"/home/jovyan/example-notebooks/books/structural_imaging/bids/sub-1/ses-20170705/extra_data/dcm2niix_output.txt\"'\n",
      "[INFO]: Running command: 'dcm2niix -z n -o \"/home/jovyan/example-notebooks/books/structural_imaging/bids/sub-1/ses-20170705/extra_data\" \"/home/jovyan/example-notebooks/books/structural_imaging/dicoms-sorted/sub-1/ses-20170705/series-6_mp2rage_highRes_0p5iso_slab\" >> \"/home/jovyan/example-notebooks/books/structural_imaging/bids/sub-1/ses-20170705/extra_data/dcm2niix_output.txt\"'\n",
      "[INFO]: Running command: 'dcm2niix -z n -o \"/home/jovyan/example-notebooks/books/structural_imaging/bids/sub-2/ses-20170705/extra_data\" \"/home/jovyan/example-notebooks/books/structural_imaging/dicoms-sorted/sub-2/ses-20170705/series-6_QSM_p2_1mmIso_TE20\" >> \"/home/jovyan/example-notebooks/books/structural_imaging/bids/sub-2/ses-20170705/extra_data/dcm2niix_output.txt\"'\n",
      "[INFO]: Running command: 'dcm2niix -z n -o \"/home/jovyan/example-notebooks/books/structural_imaging/bids/sub-2/ses-20170705/extra_data\" \"/home/jovyan/example-notebooks/books/structural_imaging/dicoms-sorted/sub-2/ses-20170705/series-5_QSM_p2_1mmIso_TE20\" >> \"/home/jovyan/example-notebooks/books/structural_imaging/bids/sub-2/ses-20170705/extra_data/dcm2niix_output.txt\"'\n",
      "[INFO]: Running command: 'dcm2niix -z n -o \"/home/jovyan/example-notebooks/books/structural_imaging/bids/sub-2/ses-20170705/extra_data\" \"/home/jovyan/example-notebooks/books/structural_imaging/dicoms-sorted/sub-2/ses-20170705/series-6_mp2rage_highRes_0p5iso_slab\" >> \"/home/jovyan/example-notebooks/books/structural_imaging/bids/sub-2/ses-20170705/extra_data/dcm2niix_output.txt\"'\n",
      "[INFO]: Loading JSON headers from '/home/jovyan/example-notebooks/books/structural_imaging/bids/.../extra_data' folders...\n",
      "[INFO]: Checking for GE data requiring correction...\n",
      "[INFO]: Loading updated JSON headers from '/home/jovyan/example-notebooks/books/structural_imaging/bids/.../extra_data' folders...\n",
      "[INFO]: Enumerating protocol names and series descriptions from JSON headers...\n",
      "[INFO]: All protocols identified: dict_keys(['qsm_p2_1mmiso_te20', 'mp2rage_highres_0p5iso_slab'])\n",
      "[INFO]: Enumerating protocol names with QSM intention using match patterns ['*t2starw*', '*qsm*']...\n",
      "[INFO]: Identified the following protocols intended for QSM: ['qsm_p2_1mmiso_te20']\n",
      "[INFO]: Enumerating T1w protocol names using match patterns ['*mp2rage*']...\n",
      "[INFO]: Identified the following protocols as T1w: ['mp2rage_highres_0p5iso_slab']\n",
      "[INFO]: Parsing relevant details from JSON headers...\n",
      "[INFO]: Parsing relevant JSON data from sub-1/ses-20170705...\n",
      "[INFO]: Parsing relevant JSON data from sub-2/ses-20170705...\n",
      "Summary of identified files and proposed renames (following BIDS standard):\n",
      "series-5_QSM_p2_1mmIso_TE20_QSM_p2_1mmIso_TE20_20170705134507_5 \n",
      "\t -> sub-1_ses-20170705_acq-qsmp21mmisote20_run-01_part-mag_T2starw\n",
      "series-6_QSM_p2_1mmIso_TE20_QSM_p2_1mmIso_TE20_20170705134507_6_ph \n",
      "\t -> sub-1_ses-20170705_acq-qsmp21mmisote20_run-01_part-phase_T2starw\n",
      "series-6_mp2rage_highRes_0p5iso_slab_mp2rage_highRes_0p5iso_slab_20170705150219_6 \n",
      "\t -> sub-1_ses-20170705_acq-mp2ragehighres0p5isoslab_run-01_T1w\n",
      "series-5_QSM_p2_1mmIso_TE20_QSM_p2_1mmIso_TE20_20170705134507_5 \n",
      "\t -> sub-2_ses-20170705_acq-qsmp21mmisote20_run-01_part-mag_T2starw\n",
      "series-6_QSM_p2_1mmIso_TE20_QSM_p2_1mmIso_TE20_20170705134507_6_ph \n",
      "\t -> sub-2_ses-20170705_acq-qsmp21mmisote20_run-01_part-phase_T2starw\n",
      "series-6_mp2rage_highRes_0p5iso_slab_mp2rage_highRes_0p5iso_slab_20170705150219_6 \n",
      "\t -> sub-2_ses-20170705_acq-mp2ragehighres0p5isoslab_run-01_T1w\n",
      "[INFO]: Renaming files...\n",
      "[INFO]: Renaming /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-1/ses-20170705/extra_data/series-5_QSM_p2_1mmIso_TE20_QSM_p2_1mmIso_TE20_20170705134507_5.json -> /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-1/ses-20170705/anat/sub-1_ses-20170705_acq-qsmp21mmisote20_run-01_part-mag_T2starw.json\n",
      "[INFO]: Renaming /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-1/ses-20170705/extra_data/series-5_QSM_p2_1mmIso_TE20_QSM_p2_1mmIso_TE20_20170705134507_5.nii -> /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-1/ses-20170705/anat/sub-1_ses-20170705_acq-qsmp21mmisote20_run-01_part-mag_T2starw.nii\n",
      "[INFO]: Renaming /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-1/ses-20170705/extra_data/series-6_QSM_p2_1mmIso_TE20_QSM_p2_1mmIso_TE20_20170705134507_6_ph.json -> /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-1/ses-20170705/anat/sub-1_ses-20170705_acq-qsmp21mmisote20_run-01_part-phase_T2starw.json\n",
      "[INFO]: Renaming /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-1/ses-20170705/extra_data/series-6_QSM_p2_1mmIso_TE20_QSM_p2_1mmIso_TE20_20170705134507_6_ph.nii -> /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-1/ses-20170705/anat/sub-1_ses-20170705_acq-qsmp21mmisote20_run-01_part-phase_T2starw.nii\n",
      "[INFO]: Renaming /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-1/ses-20170705/extra_data/series-6_mp2rage_highRes_0p5iso_slab_mp2rage_highRes_0p5iso_slab_20170705150219_6.json -> /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-1/ses-20170705/anat/sub-1_ses-20170705_acq-mp2ragehighres0p5isoslab_run-01_T1w.json\n",
      "[INFO]: Renaming /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-1/ses-20170705/extra_data/series-6_mp2rage_highRes_0p5iso_slab_mp2rage_highRes_0p5iso_slab_20170705150219_6.nii -> /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-1/ses-20170705/anat/sub-1_ses-20170705_acq-mp2ragehighres0p5isoslab_run-01_T1w.nii\n",
      "[INFO]: Renaming /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-2/ses-20170705/extra_data/series-5_QSM_p2_1mmIso_TE20_QSM_p2_1mmIso_TE20_20170705134507_5.json -> /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-2/ses-20170705/anat/sub-2_ses-20170705_acq-qsmp21mmisote20_run-01_part-mag_T2starw.json\n",
      "[INFO]: Renaming /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-2/ses-20170705/extra_data/series-5_QSM_p2_1mmIso_TE20_QSM_p2_1mmIso_TE20_20170705134507_5.nii -> /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-2/ses-20170705/anat/sub-2_ses-20170705_acq-qsmp21mmisote20_run-01_part-mag_T2starw.nii\n",
      "[INFO]: Renaming /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-2/ses-20170705/extra_data/series-6_QSM_p2_1mmIso_TE20_QSM_p2_1mmIso_TE20_20170705134507_6_ph.json -> /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-2/ses-20170705/anat/sub-2_ses-20170705_acq-qsmp21mmisote20_run-01_part-phase_T2starw.json\n",
      "[INFO]: Renaming /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-2/ses-20170705/extra_data/series-6_QSM_p2_1mmIso_TE20_QSM_p2_1mmIso_TE20_20170705134507_6_ph.nii -> /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-2/ses-20170705/anat/sub-2_ses-20170705_acq-qsmp21mmisote20_run-01_part-phase_T2starw.nii\n",
      "[INFO]: Renaming /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-2/ses-20170705/extra_data/series-6_mp2rage_highRes_0p5iso_slab_mp2rage_highRes_0p5iso_slab_20170705150219_6.json -> /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-2/ses-20170705/anat/sub-2_ses-20170705_acq-mp2ragehighres0p5isoslab_run-01_T1w.json\n",
      "[INFO]: Renaming /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-2/ses-20170705/extra_data/series-6_mp2rage_highRes_0p5iso_slab_mp2rage_highRes_0p5iso_slab_20170705150219_6.nii -> /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-2/ses-20170705/anat/sub-2_ses-20170705_acq-mp2ragehighres0p5isoslab_run-01_T1w.nii\n",
      "[INFO]: Generating details for BIDS dataset_description.json...\n",
      "[INFO]: Writing BIDS dataset_description.json...\n",
      "[INFO]: Writing BIDS .bidsignore file...\n",
      "[INFO]: Writing BIDS dataset README...\n",
      "[INFO]: Finished\n"
     ]
    }
   ],
   "source": [
    "!dicom-convert dicoms-sorted bids \\\n",
    "    --t1w_protocol_patterns \"*mp2rage*\" \\\n",
    "    --auto_yes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "3e8d460c-424a-419d-8b1d-59764588da94",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "3e8d460c-424a-419d-8b1d-59764588da94",
    "outputId": "5a674999-b70b-423a-dd5f-798d4386777a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[01;34mbids\u001b[0m\n",
      "├── \u001b[00mREADME\u001b[0m\n",
      "├── \u001b[00mdataset_description.json\u001b[0m\n",
      "├── \u001b[00mlog_2024-11-15_00-49-33135828.txt\u001b[0m\n",
      "├── \u001b[00mreferences.txt\u001b[0m\n",
      "├── \u001b[01;34msub-1\u001b[0m\n",
      "│   └── \u001b[01;34mses-20170705\u001b[0m\n",
      "│       ├── \u001b[01;34manat\u001b[0m\n",
      "│       │   ├── \u001b[00msub-1_ses-20170705_acq-mp2ragehighres0p5isoslab_run-01_T1w.json\u001b[0m\n",
      "│       │   ├── \u001b[00msub-1_ses-20170705_acq-mp2ragehighres0p5isoslab_run-01_T1w.nii\u001b[0m\n",
      "│       │   ├── \u001b[00msub-1_ses-20170705_acq-qsmp21mmisote20_run-01_part-mag_T2starw.json\u001b[0m\n",
      "│       │   ├── \u001b[00msub-1_ses-20170705_acq-qsmp21mmisote20_run-01_part-mag_T2starw.nii\u001b[0m\n",
      "│       │   ├── \u001b[00msub-1_ses-20170705_acq-qsmp21mmisote20_run-01_part-phase_T2starw.json\u001b[0m\n",
      "│       │   └── \u001b[00msub-1_ses-20170705_acq-qsmp21mmisote20_run-01_part-phase_T2starw.nii\u001b[0m\n",
      "│       └── \u001b[01;34mextra_data\u001b[0m\n",
      "│           └── \u001b[00mdcm2niix_output.txt\u001b[0m\n",
      "└── \u001b[01;34msub-2\u001b[0m\n",
      "    └── \u001b[01;34mses-20170705\u001b[0m\n",
      "        ├── \u001b[01;34manat\u001b[0m\n",
      "        │   ├── \u001b[00msub-2_ses-20170705_acq-mp2ragehighres0p5isoslab_run-01_T1w.json\u001b[0m\n",
      "        │   ├── \u001b[00msub-2_ses-20170705_acq-mp2ragehighres0p5isoslab_run-01_T1w.nii\u001b[0m\n",
      "        │   ├── \u001b[00msub-2_ses-20170705_acq-qsmp21mmisote20_run-01_part-mag_T2starw.json\u001b[0m\n",
      "        │   ├── \u001b[00msub-2_ses-20170705_acq-qsmp21mmisote20_run-01_part-mag_T2starw.nii\u001b[0m\n",
      "        │   ├── \u001b[00msub-2_ses-20170705_acq-qsmp21mmisote20_run-01_part-phase_T2starw.json\u001b[0m\n",
      "        │   └── \u001b[00msub-2_ses-20170705_acq-qsmp21mmisote20_run-01_part-phase_T2starw.nii\u001b[0m\n",
      "        └── \u001b[01;34mextra_data\u001b[0m\n",
      "            └── \u001b[00mdcm2niix_output.txt\u001b[0m\n",
      "\n",
      "8 directories, 18 files\n"
     ]
    }
   ],
   "source": [
    "!tree bids"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfb3d0a2-6ef1-4855-933b-734dde1e4c7d",
   "metadata": {
    "id": "dfb3d0a2-6ef1-4855-933b-734dde1e4c7d"
   },
   "source": [
    "# Inspect input data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40734463-b6c8-4487-a7b8-4c8b4de75716",
   "metadata": {
    "id": "40734463-b6c8-4487-a7b8-4c8b4de75716"
   },
   "source": [
    "Here we define a function we will use to visualise NIfTI images so we can view some of the input data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "acc7b790",
   "metadata": {},
   "outputs": [],
   "source": [
    "from glob import glob\n",
    "def show_nii(nii_path, title=None, cmap='gray', **imshow_args):\n",
    "    from matplotlib import pyplot as plt\n",
    "    import numpy as np\n",
    "    import nibabel as nib\n",
    "    import glob\n",
    "\n",
    "    # load data\\n\",\n",
    "    data_1 = nib.load(nii_path).get_fdata()\n",
    "\n",
    "    # get middle slices\\n\",\n",
    "    slc_data1 = np.rot90(data_1[np.shape(data_1)[0]//2,:,:])\n",
    "    slc_data2 = np.rot90(data_1[:,np.shape(data_1)[1]//2,:])\n",
    "    slc_data3 = np.rot90(data_1[:,:,np.shape(data_1)[2]//2])\n",
    "\n",
    "    # show slices\\n\",\n",
    "    fig, axes = plt.subplots(nrows=1, ncols=3, figsize=(8,10))\n",
    "    if title: plt.suptitle(title)\n",
    "\n",
    "    axes[0].imshow(slc_data1, cmap=cmap, **imshow_args)\n",
    "    axes[1].imshow(slc_data2, cmap=cmap, **imshow_args)\n",
    "    axes[2].imshow(slc_data3, cmap=cmap, **imshow_args)\n",
    "\n",
    "    axes[0].axis('off')\n",
    "    axes[1].axis('off')\n",
    "    axes[2].axis('off')\n",
    "\n",
    "    fig.tight_layout()\n",
    "    fig.subplots_adjust(top=1.55)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f4f5e3fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x1000 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x1000 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x1000 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_nii(glob(\"bids/sub-*/ses-*/anat/*mag*nii*\")[0], title=\"Magnitude\", vmax=500)\n",
    "show_nii(glob(\"bids/sub-*/ses-*/anat/*phase*nii*\")[0], title=\"Phase\")\n",
    "show_nii(glob(\"bids/sub-*/ses-*/anat/*T1w*nii*\")[0], title=\"T1-weighted\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "878e8194-c85a-4ed5-907e-e186a87cca50",
   "metadata": {},
   "source": [
    "Interactive Display using Niivue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "6c7ec765-e905-46ce-98c4-1127817863fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "719b0dfe2273490abec3762e266925d3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "AnyNiivue()"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from ipyniivue import AnyNiivue\n",
    "\n",
    "nv_T1 = AnyNiivue()\n",
    "nv_T1.load_volumes([{\"path\": glob(\"bids/sub-*/ses-*/anat/*T1w*nii*\")[0]}])\n",
    "nv_T1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dcafd4ce-ccf3-4b9c-9caf-ded440db9aa5",
   "metadata": {
    "id": "dcafd4ce-ccf3-4b9c-9caf-ded440db9aa5"
   },
   "source": [
    "# Run QSMxT"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e42f3b99-2e24-4644-9e87-dd2ed3d50e2f",
   "metadata": {
    "id": "e42f3b99-2e24-4644-9e87-dd2ed3d50e2f"
   },
   "source": [
    "We are now ready to run QSMxT! We will generate susceptibility maps and segmentations, and export analysis CSVs to file.\n",
    "\n",
    "The usual way of running QSMxT is to use `qsmxt bids_dir`. This will launch an interactive command-line interface (CLI) to setup your desired pipelines. However, since we are running this in a notebook, we need to use command-line arguments to by-pass the interface and execute a pipeline.\n",
    "\n",
    "But first, let's consider our pipeline settings. For QSM reconstruction, QSMxT provides a range of sensible defaults fit for different purposes. We can list the premade QSM pipelines using `--list_premades`. For the full pipeline details used for each premade pipeline, see [qsm_pipelines.json](https://github.com/QSMxT/QSMxT/blob/main/qsmxt/qsm_pipelines.json)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5f8bfb98-e1e2-4b41-8eb7-cea7ddaf82e9",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "5f8bfb98-e1e2-4b41-8eb7-cea7ddaf82e9",
    "outputId": "a33d5f57-cc57-4bc7-c809-98dbf9c8fc5c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "=== Premade pipelines ===\n",
      "default: Default QSMxT settings (GRE; assumes human brain)\n",
      "gre: Applies suggested settings for 3D-GRE images\n",
      "epi: Applies suggested settings for 3D-EPI images (assumes human brain)\n",
      "bet: Applies a traditional BET-masking approach (artefact reduction unavailable; assumes human brain)\n",
      "fast: Applies a set of fast algorithms\n",
      "body: Applies suggested settings for non-brain applications\n",
      "nextqsm: Applies suggested settings for running the NeXtQSM algorithm (assumes human brain)\n",
      "[INFO]: Finished\n"
     ]
    }
   ],
   "source": [
    "!qsmxt --list_premades"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff22a73f-548a-4c8f-a430-0350560ef8a0",
   "metadata": {
    "id": "ff22a73f-548a-4c8f-a430-0350560ef8a0"
   },
   "source": [
    "For this demonstration, we will go with the `fast` pipeline. To export segmentations and analysis results, we will use `--do_segmentation` and `--do_analysis`. The `--auto_yes` option avoid the interactive CLI interface that cannot be used in a notebook:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ea3157e3-f9aa-4a20-af4f-4ffd42d88694",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "ea3157e3-f9aa-4a20-af4f-4ffd42d88694",
    "outputId": "56351221-2c6c-4c45-b2e1-84d7bdfda8c1",
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO]: QSMxT v7.2.2\n",
      "[INFO]: Python interpreter: /opt/miniconda-4.7.12.1/bin/python3.8\n",
      "[INFO]: Command: qsmxt /home/jovyan/example-notebooks/books/structural_imaging/bids --premade 'fast' --do_qsm --do_segmentation --do_analysis --auto_yes\n",
      "[WARNING]: Pipeline is NOT guidelines compliant (see https://doi.org/10.1002/mrm.30006):; Phase-quality-based masking recommended\n",
      "[INFO]: Available memory: 108.695 GB\n",
      "[INFO]: Creating QSMxT workflow for sub-1.ses-20170705.acq-qsmp21mmisote20.run-01...\n",
      "[INFO]: Creating QSMxT workflow for sub-2.ses-20170705.acq-qsmp21mmisote20.run-01...\n",
      "[INFO]: Running using MultiProc plugin with n_procs=32\n",
      "241115-00:49:57,213 nipype.workflow INFO:\n",
      "\t Workflow qsmxt-workflow settings: ['check', 'execution', 'logging', 'monitoring']\n",
      "241115-00:49:57,283 nipype.workflow INFO:\n",
      "\t Running in parallel.\n",
      "241115-00:49:57,295 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 0 tasks, and 12 jobs ready. Free memory (GB): 113.21/113.21, Free processors: 32/32.\n",
      "241115-00:49:57,763 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.func_read-json-me\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/func_read-json-me\".\n",
      "241115-00:49:57,767 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_as-canonical\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/nibabel_as-canonical\".\n",
      "241115-00:49:57,768 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_read-nii\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/nibabel_read-nii\".\n",
      "241115-00:49:57,770 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.func_read-json-me\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/func_read-json-me\".\n",
      "241115-00:49:57,772 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/fastsurfer_segment-t1\".\n",
      "241115-00:49:57,772 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_read-nii\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/nibabel_read-nii\".\n",
      "241115-00:49:57,780 nipype.workflow INFO:\n",
      "\t [Node] Executing \"nibabel_read-nii\" <nipype.interfaces.utility.wrappers.Function>\n",
      "241115-00:49:57,781 nipype.workflow INFO:\n",
      "\t [Node] Executing \"func_read-json-me\" <nipype.interfaces.utility.wrappers.Function>\n",
      "241115-00:49:57,782 nipype.workflow INFO:\n",
      "\t [Node] Executing \"fastsurfer_segment-t1\" <qsmxt.interfaces.nipype_interface_fastsurfer.FastSurferInterface>\n",
      "241115-00:49:57,783 nipype.workflow INFO:\n",
      "\t [Node] Executing \"nibabel_read-nii\" <nipype.interfaces.utility.wrappers.Function>\n",
      "241115-00:49:57,787 nipype.workflow INFO:\n",
      "\t [Node] Finished \"func_read-json-me\", elapsed time 0.002151s.\n",
      "241115-00:49:57,792 nipype.workflow INFO:\n",
      "\t [Node] Finished \"nibabel_read-nii\", elapsed time 0.007361s.\n",
      "241115-00:49:57,795 nipype.workflow INFO:\n",
      "\t [Node] Finished \"nibabel_read-nii\", elapsed time 0.008006s.\n",
      "241115-00:49:57,765 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.func_read-json-se\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/func_read-json-se\".\n",
      "241115-00:49:57,770 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.func_read-json-se\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/func_read-json-se\".\n",
      "241115-00:49:57,823 nipype.workflow INFO:\n",
      "\t [Node] Executing \"func_read-json-se\" <nipype.interfaces.utility.wrappers.Function>\n",
      "241115-00:49:57,772 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/fastsurfer_segment-t1\".\n",
      "241115-00:49:57,774 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.ants_register-t1-to-qsm\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/ants_register-t1-to-qsm\".\n",
      "241115-00:49:57,831 nipype.workflow INFO:\n",
      "\t [Node] Finished \"func_read-json-se\", elapsed time 0.002718s.\n",
      "241115-00:49:57,833 nipype.workflow INFO:\n",
      "\t [Node] Executing \"fastsurfer_segment-t1\" <qsmxt.interfaces.nipype_interface_fastsurfer.FastSurferInterface>\n",
      "241115-00:49:57,837 nipype.workflow INFO:\n",
      "\t [Node] Executing \"ants_register-t1-to-qsm\" <nipype.interfaces.ants.registration.RegistrationSynQuick>\n",
      "241115-00:49:57,774 nipype.workflow INFO:\n",
      "\t [Node] Executing \"nibabel_as-canonical\" <nipype.interfaces.utility.wrappers.Function>\n",
      "241115-00:49:57,775 nipype.workflow INFO:\n",
      "\t [Node] Executing \"func_read-json-me\" <nipype.interfaces.utility.wrappers.Function>\n",
      "241115-00:49:57,831 nipype.workflow INFO:\n",
      "\t [Node] Executing \"func_read-json-se\" <nipype.interfaces.utility.wrappers.Function>\n",
      "241115-00:49:57,883 nipype.workflow INFO:\n",
      "\t [Node] Finished \"func_read-json-me\", elapsed time 0.002479s.\n",
      "241115-00:49:57,890 nipype.workflow INFO:\n",
      "\t [Node] Finished \"func_read-json-se\", elapsed time 0.003504s.\n",
      "241115-00:49:57,773 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_as-canonical\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/nibabel_as-canonical\".\n",
      "241115-00:49:57,936 nipype.workflow INFO:\n",
      "\t [Node] Executing \"nibabel_as-canonical\" <nipype.interfaces.utility.wrappers.Function>\n",
      "241115-00:49:57,986 nipype.workflow INFO:\n",
      "\t [Node] Finished \"nibabel_as-canonical\", elapsed time 0.046112s.\n",
      "241115-00:49:57,987 nipype.workflow INFO:\n",
      "\t [Node] Finished \"nibabel_as-canonical\", elapsed time 0.107813s.\n",
      "241115-00:49:59,296 nipype.workflow INFO:\n",
      "\t [Job 0] Completed (qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.func_read-json-me).\n",
      "241115-00:49:59,302 nipype.workflow INFO:\n",
      "\t [Job 1] Completed (qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.func_read-json-se).\n",
      "241115-00:49:59,303 nipype.workflow INFO:\n",
      "\t [Job 2] Completed (qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_read-nii).\n",
      "241115-00:49:59,305 nipype.workflow INFO:\n",
      "\t [Job 3] Completed (qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_as-canonical).\n",
      "241115-00:49:59,306 nipype.workflow INFO:\n",
      "\t [Job 6] Completed (qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.func_read-json-me).\n",
      "241115-00:49:59,308 nipype.workflow INFO:\n",
      "\t [Job 7] Completed (qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.func_read-json-se).\n",
      "241115-00:49:59,309 nipype.workflow INFO:\n",
      "\t [Job 8] Completed (qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_read-nii).\n",
      "241115-00:49:59,311 nipype.workflow INFO:\n",
      "\t [Job 9] Completed (qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_as-canonical).\n",
      "241115-00:49:59,313 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 3 tasks, and 5 jobs ready. Free memory (GB): 81.21/113.21, Free processors: 10/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.ants_register-t1-to-qsm\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "241115-00:49:59,526 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.func_getfirst-canonical-magnitude\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/func_getfirst-canonical-magnitude\".\n",
      "241115-00:49:59,527 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.ants_register-t1-to-qsm\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/ants_register-t1-to-qsm\".\n",
      "241115-00:49:59,528 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.func_getfirst-canonical-magnitude\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/func_getfirst-canonical-magnitude\".\n",
      "241115-00:49:59,535 nipype.workflow INFO:\n",
      "\t [Node] Executing \"func_getfirst-canonical-magnitude\" <nipype.interfaces.utility.wrappers.Function>\n",
      "241115-00:49:59,540 nipype.workflow INFO:\n",
      "\t [Node] Finished \"func_getfirst-canonical-magnitude\", elapsed time 0.001897s.\n",
      "241115-00:49:59,540 nipype.workflow INFO:\n",
      "\t [Node] Executing \"ants_register-t1-to-qsm\" <nipype.interfaces.ants.registration.RegistrationSynQuick>\n",
      "241115-00:49:59,544 nipype.workflow INFO:\n",
      "\t [Node] Executing \"func_getfirst-canonical-magnitude\" <nipype.interfaces.utility.wrappers.Function>\n",
      "241115-00:49:59,551 nipype.workflow INFO:\n",
      "\t [Node] Finished \"func_getfirst-canonical-magnitude\", elapsed time 0.002375s.\n",
      "241115-00:49:59,527 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_scale-phase\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/nibabel_numpy_scale-phase\".\n",
      "241115-00:49:59,527 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_scale-phase\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/nibabel_numpy_scale-phase\".\n",
      "241115-00:49:59,589 nipype.workflow INFO:\n",
      "\t [Node] Executing \"nibabel_numpy_scale-phase\" <qsmxt.interfaces.nipype_interface_processphase.ScalePhaseInterface>\n",
      "241115-00:49:59,593 nipype.workflow INFO:\n",
      "\t [Node] Executing \"nibabel_numpy_scale-phase\" <qsmxt.interfaces.nipype_interface_processphase.ScalePhaseInterface>\n",
      "241115-00:50:00,146 nipype.workflow INFO:\n",
      "\t [Node] Finished \"nibabel_numpy_scale-phase\", elapsed time 0.553699s.\n",
      "241115-00:50:00,218 nipype.workflow INFO:\n",
      "\t [Node] Finished \"nibabel_numpy_scale-phase\", elapsed time 0.621612s.\n",
      "241115-00:50:01,296 nipype.workflow INFO:\n",
      "\t [Job 12] Completed (qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_scale-phase).\n",
      "241115-00:50:01,298 nipype.workflow INFO:\n",
      "\t [Job 13] Completed (qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.func_getfirst-canonical-magnitude).\n",
      "241115-00:50:01,300 nipype.workflow INFO:\n",
      "\t [Job 15] Completed (qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_scale-phase).\n",
      "241115-00:50:01,301 nipype.workflow INFO:\n",
      "\t [Job 16] Completed (qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.func_getfirst-canonical-magnitude).\n",
      "241115-00:50:01,304 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 4 tasks, and 2 jobs ready. Free memory (GB): 73.21/113.21, Free processors: 4/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.ants_register-t1-to-qsm\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.ants_register-t1-to-qsm\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "241115-00:50:01,421 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_nilearn_axial-resampling\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/nibabel_numpy_nilearn_axial-resampling\".\n",
      "241115-00:50:01,423 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_nilearn_axial-resampling\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/nibabel_numpy_nilearn_axial-resampling\".\n",
      "241115-00:50:01,430 nipype.workflow INFO:\n",
      "\t [Node] Executing \"nibabel_numpy_nilearn_axial-resampling\" <qsmxt.interfaces.nipype_interface_axialsampling.AxialSamplingInterface>\n",
      "241115-00:50:01,433 nipype.workflow INFO:\n",
      "\t [Node] Executing \"nibabel_numpy_nilearn_axial-resampling\" <qsmxt.interfaces.nipype_interface_axialsampling.AxialSamplingInterface>\n",
      "241115-00:50:01,437 nipype.workflow INFO:\n",
      "\t [Node] Finished \"nibabel_numpy_nilearn_axial-resampling\", elapsed time 0.004852s.\n",
      "241115-00:50:01,442 nipype.workflow INFO:\n",
      "\t [Node] Finished \"nibabel_numpy_nilearn_axial-resampling\", elapsed time 0.006382s.\n",
      "241115-00:50:03,299 nipype.workflow INFO:\n",
      "\t [Job 18] Completed (qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_nilearn_axial-resampling).\n",
      "241115-00:50:03,301 nipype.workflow INFO:\n",
      "\t [Job 21] Completed (qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_nilearn_axial-resampling).\n",
      "241115-00:50:03,304 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 4 tasks, and 4 jobs ready. Free memory (GB): 73.21/113.21, Free processors: 4/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.ants_register-t1-to-qsm\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.ants_register-t1-to-qsm\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "241115-00:50:03,406 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.mrt_romeo\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/qsm_workflow/mrt_romeo\".\n",
      "241115-00:50:03,407 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.mrt_romeo\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/qsm_workflow/mrt_romeo\".\n",
      "241115-00:50:03,416 nipype.workflow INFO:\n",
      "\t [Node] Executing \"mrt_romeo\" <qsmxt.interfaces.nipype_interface_romeo.RomeoB0Interface>\n",
      "241115-00:50:03,421 nipype.workflow INFO:\n",
      "\t [Node] Executing \"mrt_romeo\" <qsmxt.interfaces.nipype_interface_romeo.RomeoB0Interface>\n",
      "241115-00:50:05,301 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 6 tasks, and 2 jobs ready. Free memory (GB): 68.53/113.21, Free processors: 2/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.mrt_romeo\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.mrt_romeo\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.ants_register-t1-to-qsm\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.ants_register-t1-to-qsm\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "241115-00:52:50,249 nipype.workflow INFO:\n",
      "\t [Node] Finished \"ants_register-t1-to-qsm\", elapsed time 170.705112s.\n",
      "241115-00:52:51,466 nipype.workflow INFO:\n",
      "\t [Job 11] Completed (qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.ants_register-t1-to-qsm).\n",
      "241115-00:52:51,470 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 5 tasks, and 2 jobs ready. Free memory (GB): 76.53/113.21, Free processors: 8/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.mrt_romeo\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.mrt_romeo\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.ants_register-t1-to-qsm\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "241115-00:52:51,601 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.mask_workflow.fsl-bet\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/mask_workflow/fsl-bet\".\n",
      "241115-00:52:51,613 nipype.workflow INFO:\n",
      "\t [Node] Executing \"fsl-bet\" <qsmxt.interfaces.nipype_interface_bet2.Bet2Interface>\n",
      "241115-00:52:53,469 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 6 tasks, and 1 jobs ready. Free memory (GB): 74.53/113.21, Free processors: 0/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.mask_workflow.fsl-bet\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.mrt_romeo\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.mrt_romeo\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.ants_register-t1-to-qsm\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "241115-00:52:56,947 nipype.workflow INFO:\n",
      "\t [Node] Finished \"ants_register-t1-to-qsm\", elapsed time 179.107196s.\n",
      "241115-00:52:57,473 nipype.workflow INFO:\n",
      "\t [Job 5] Completed (qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.ants_register-t1-to-qsm).\n",
      "241115-00:52:57,477 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 5 tasks, and 1 jobs ready. Free memory (GB): 82.53/113.21, Free processors: 6/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.mask_workflow.fsl-bet\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.mrt_romeo\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.mrt_romeo\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "241115-00:53:11,30 nipype.workflow INFO:\n",
      "\t [Node] Finished \"fsl-bet\", elapsed time 19.413455s.\n",
      "241115-00:53:11,486 nipype.workflow INFO:\n",
      "\t [Job 24] Completed (qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.mask_workflow.fsl-bet).\n",
      "241115-00:53:11,489 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 4 tasks, and 2 jobs ready. Free memory (GB): 84.53/113.21, Free processors: 14/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.mrt_romeo\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.mrt_romeo\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "241115-00:53:11,584 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.mask_workflow.fsl-bet\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/mask_workflow/fsl-bet\".\n",
      "241115-00:53:11,585 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.mask_workflow.scipy_numpy_nibabel_bet_erode\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/mask_workflow/scipy_numpy_nibabel_bet_erode\".\n",
      "241115-00:53:11,594 nipype.workflow INFO:\n",
      "\t [Node] Executing \"fsl-bet\" <qsmxt.interfaces.nipype_interface_bet2.Bet2Interface>\n",
      "241115-00:53:11,600 nipype.workflow INFO:\n",
      "\t [Node] Executing \"scipy_numpy_nibabel_bet_erode\" <qsmxt.interfaces.nipype_interface_erode.ErosionInterface>\n",
      "241115-00:53:12,731 nipype.workflow INFO:\n",
      "\t [Node] Finished \"scipy_numpy_nibabel_bet_erode\", elapsed time 1.128106s.\n",
      "241115-00:53:13,488 nipype.workflow INFO:\n",
      "\t [Job 30] Completed (qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.mask_workflow.scipy_numpy_nibabel_bet_erode).\n",
      "241115-00:53:13,491 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 5 tasks, and 0 jobs ready. Free memory (GB): 82.53/113.21, Free processors: 6/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.mask_workflow.fsl-bet\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.mrt_romeo\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.mrt_romeo\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "241115-00:53:30,984 nipype.workflow INFO:\n",
      "\t [Node] Finished \"fsl-bet\", elapsed time 19.387207s.\n",
      "241115-00:53:31,506 nipype.workflow INFO:\n",
      "\t [Job 27] Completed (qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.mask_workflow.fsl-bet).\n",
      "241115-00:53:31,510 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 4 tasks, and 1 jobs ready. Free memory (GB): 84.53/113.21, Free processors: 14/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.mrt_romeo\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.mrt_romeo\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "241115-00:53:31,610 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.mask_workflow.scipy_numpy_nibabel_bet_erode\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/mask_workflow/scipy_numpy_nibabel_bet_erode\".\n",
      "241115-00:53:31,618 nipype.workflow INFO:\n",
      "\t [Node] Executing \"scipy_numpy_nibabel_bet_erode\" <qsmxt.interfaces.nipype_interface_erode.ErosionInterface>\n",
      "241115-00:53:32,610 nipype.workflow INFO:\n",
      "\t [Node] Finished \"scipy_numpy_nibabel_bet_erode\", elapsed time 0.989904s.\n",
      "241115-00:53:33,509 nipype.workflow INFO:\n",
      "\t [Job 32] Completed (qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.mask_workflow.scipy_numpy_nibabel_bet_erode).\n",
      "241115-00:53:33,512 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 4 tasks, and 0 jobs ready. Free memory (GB): 84.53/113.21, Free processors: 14/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.mrt_romeo\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.mrt_romeo\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "241115-00:57:38,538 nipype.workflow INFO:\n",
      "\t [Node] Finished \"mrt_romeo\", elapsed time 455.1193s.\n",
      "241115-00:57:39,294 nipype.workflow INFO:\n",
      "\t [Node] Finished \"mrt_romeo\", elapsed time 455.870979s.\n",
      "241115-00:57:39,782 nipype.workflow INFO:\n",
      "\t [Job 25] Completed (qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.mrt_romeo).\n",
      "241115-00:57:39,785 nipype.workflow INFO:\n",
      "\t [Job 28] Completed (qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.mrt_romeo).\n",
      "241115-00:57:39,788 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 2 tasks, and 2 jobs ready. Free memory (GB): 89.21/113.21, Free processors: 16/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "241115-00:57:39,921 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.nibabel-numpy_normalize-phase\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/qsm_workflow/nibabel-numpy_normalize-phase\".\n",
      "241115-00:57:39,934 nipype.workflow INFO:\n",
      "\t [Node] Executing \"nibabel-numpy_normalize-phase\" <qsmxt.interfaces.nipype_interface_processphase.PhaseToNormalizedInterface>\n",
      "241115-00:57:39,921 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.nibabel-numpy_normalize-phase\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/qsm_workflow/nibabel-numpy_normalize-phase\".\n",
      "241115-00:57:39,985 nipype.workflow INFO:\n",
      "\t [Node] Executing \"nibabel-numpy_normalize-phase\" <qsmxt.interfaces.nipype_interface_processphase.PhaseToNormalizedInterface>\n",
      "241115-00:57:40,338 nipype.workflow INFO:\n",
      "\t [Node] Finished \"nibabel-numpy_normalize-phase\", elapsed time 0.40138s.\n",
      "241115-00:57:40,443 nipype.workflow INFO:\n",
      "\t [Node] Finished \"nibabel-numpy_normalize-phase\", elapsed time 0.454097s.\n",
      "241115-00:57:41,785 nipype.workflow INFO:\n",
      "\t [Job 31] Completed (qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.nibabel-numpy_normalize-phase).\n",
      "241115-00:57:41,787 nipype.workflow INFO:\n",
      "\t [Job 33] Completed (qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.nibabel-numpy_normalize-phase).\n",
      "241115-00:57:41,790 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 2 tasks, and 2 jobs ready. Free memory (GB): 89.21/113.21, Free processors: 16/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "241115-00:57:41,917 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/qsm_workflow/qsmjl_vsharp\".\n",
      "241115-00:57:41,930 nipype.workflow INFO:\n",
      "\t [Node] Executing \"qsmjl_vsharp\" <qsmxt.interfaces.nipype_interface_qsmjl.VsharpInterface>\n",
      "241115-00:57:41,918 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/qsm_workflow/qsmjl_vsharp\".\n",
      "241115-00:57:41,982 nipype.workflow INFO:\n",
      "\t [Node] Executing \"qsmjl_vsharp\" <qsmxt.interfaces.nipype_interface_qsmjl.VsharpInterface>\n",
      "241115-00:57:43,788 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 4 tasks, and 0 jobs ready. Free memory (GB): 85.21/113.21, Free processors: 12/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "241115-00:57:55,281 nipype.workflow INFO:\n",
      "\t [Node] Finished \"fastsurfer_segment-t1\", elapsed time 477.444439s.\n",
      "241115-00:57:55,800 nipype.workflow INFO:\n",
      "\t [Job 10] Completed (qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1).\n",
      "241115-00:57:55,804 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 3 tasks, and 1 jobs ready. Free memory (GB): 97.21/113.21, Free processors: 20/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "241115-00:57:55,923 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.numpy_numpy_nibabel_mgz2nii\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/numpy_numpy_nibabel_mgz2nii\".\n",
      "241115-00:57:55,931 nipype.workflow INFO:\n",
      "\t [Node] Executing \"numpy_numpy_nibabel_mgz2nii\" <qsmxt.interfaces.nipype_interface_mgz2nii.Mgz2NiiInterface>\n",
      "241115-00:57:56,307 nipype.workflow INFO:\n",
      "\t [Node] Finished \"numpy_numpy_nibabel_mgz2nii\", elapsed time 0.372734s.\n",
      "241115-00:57:57,803 nipype.workflow INFO:\n",
      "\t [Job 17] Completed (qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.numpy_numpy_nibabel_mgz2nii).\n",
      "241115-00:57:57,807 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 3 tasks, and 2 jobs ready. Free memory (GB): 97.21/113.21, Free processors: 20/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "241115-00:57:57,935 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_nilearn_t1w-seg-resampled\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/nibabel_numpy_nilearn_t1w-seg-resampled\".\n",
      "241115-00:57:57,937 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.ants_transform-segmentation-to-qsm\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/ants_transform-segmentation-to-qsm\".\n",
      "241115-00:57:57,941 nipype.workflow INFO:\n",
      "\t [Node] Executing \"nibabel_numpy_nilearn_t1w-seg-resampled\" <qsmxt.interfaces.nipype_interface_resample_like.ResampleLikeInterface>\n",
      "Resampling /home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/fastsurfer_segment-t1/sub-2_ses-20170705_acq-mp2ragehighres0p5isoslab_run-01_T1w_dseg_nii.nii to /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-2/ses-20170705/anat/sub-2_ses-20170705_acq-mp2ragehighres0p5isoslab_run-01_T1w.nii with interpolation nearest\n",
      "Loaded input and reference files\n",
      "241115-00:57:57,946 nipype.workflow INFO:\n",
      "\t [Node] Executing \"ants_transform-segmentation-to-qsm\" <nipype.interfaces.ants.resampling.ApplyTransforms>\n",
      "241115-00:57:59,523 nipype.workflow INFO:\n",
      "\t [Node] Finished \"ants_transform-segmentation-to-qsm\", elapsed time 1.5748959999999999s.\n",
      "241115-00:57:59,804 nipype.workflow INFO:\n",
      "\t [Job 23] Completed (qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.ants_transform-segmentation-to-qsm).\n",
      "241115-00:57:59,808 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 4 tasks, and 1 jobs ready. Free memory (GB): 95.21/113.21, Free processors: 19/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_nilearn_t1w-seg-resampled\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "241115-00:57:59,924 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.combine_lists2\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/combine_lists2\".\n",
      "241115-00:57:59,933 nipype.workflow INFO:\n",
      "\t [Node] Executing \"combine_lists2\" <nipype.interfaces.utility.wrappers.Function>\n",
      "241115-00:57:59,936 nipype.workflow INFO:\n",
      "\t [Node] Finished \"combine_lists2\", elapsed time 0.001276s.\n",
      "241115-00:58:01,808 nipype.workflow INFO:\n",
      "\t [Job 29] Completed (qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.combine_lists2).\n",
      "241115-00:58:01,811 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 4 tasks, and 0 jobs ready. Free memory (GB): 95.21/113.21, Free processors: 19/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_nilearn_t1w-seg-resampled\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "Resampled the image\n",
      "Saved resampled image to /home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/nibabel_numpy_nilearn_t1w-seg-resampled/sub-2_ses-20170705_acq-mp2ragehighres0p5isoslab_run-01_T1w_dseg_nii_resampled.nii\n",
      "241115-00:58:05,39 nipype.workflow INFO:\n",
      "\t [Node] Finished \"nibabel_numpy_nilearn_t1w-seg-resampled\", elapsed time 7.096862s.\n",
      "241115-00:58:05,811 nipype.workflow INFO:\n",
      "\t [Job 22] Completed (qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_nilearn_t1w-seg-resampled).\n",
      "241115-00:58:05,815 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 3 tasks, and 0 jobs ready. Free memory (GB): 97.21/113.21, Free processors: 20/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1\n",
      "241115-00:58:16,351 nipype.workflow INFO:\n",
      "\t [Node] Finished \"fastsurfer_segment-t1\", elapsed time 498.565617s.\n",
      "241115-00:58:17,825 nipype.workflow INFO:\n",
      "\t [Job 4] Completed (qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.fastsurfer_segment-t1).\n",
      "241115-00:58:17,829 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 2 tasks, and 1 jobs ready. Free memory (GB): 109.21/113.21, Free processors: 28/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp\n",
      "241115-00:58:17,953 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.numpy_numpy_nibabel_mgz2nii\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/numpy_numpy_nibabel_mgz2nii\".\n",
      "241115-00:58:17,960 nipype.workflow INFO:\n",
      "\t [Node] Executing \"numpy_numpy_nibabel_mgz2nii\" <qsmxt.interfaces.nipype_interface_mgz2nii.Mgz2NiiInterface>\n",
      "241115-00:58:18,317 nipype.workflow INFO:\n",
      "\t [Node] Finished \"numpy_numpy_nibabel_mgz2nii\", elapsed time 0.354915s.\n",
      "241115-00:58:19,827 nipype.workflow INFO:\n",
      "\t [Job 14] Completed (qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.numpy_numpy_nibabel_mgz2nii).\n",
      "241115-00:58:19,831 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 2 tasks, and 2 jobs ready. Free memory (GB): 109.21/113.21, Free processors: 28/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp\n",
      "241115-00:58:19,955 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_nilearn_t1w-seg-resampled\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/nibabel_numpy_nilearn_t1w-seg-resampled\".\n",
      "241115-00:58:19,955 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.ants_transform-segmentation-to-qsm\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/ants_transform-segmentation-to-qsm\".\n",
      "241115-00:58:19,963 nipype.workflow INFO:\n",
      "\t [Node] Executing \"nibabel_numpy_nilearn_t1w-seg-resampled\" <qsmxt.interfaces.nipype_interface_resample_like.ResampleLikeInterface>\n",
      "Resampling /home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/fastsurfer_segment-t1/sub-1_ses-20170705_acq-mp2ragehighres0p5isoslab_run-01_T1w_dseg_nii.nii to /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-1/ses-20170705/anat/sub-1_ses-20170705_acq-mp2ragehighres0p5isoslab_run-01_T1w.nii with interpolation nearest\n",
      "241115-00:58:19,969 nipype.workflow INFO:\n",
      "\t [Node] Executing \"ants_transform-segmentation-to-qsm\" <nipype.interfaces.ants.resampling.ApplyTransforms>\n",
      "Loaded input and reference files\n",
      "241115-00:58:20,971 nipype.workflow INFO:\n",
      "\t [Node] Finished \"ants_transform-segmentation-to-qsm\", elapsed time 0.999699s.\n",
      "241115-00:58:21,829 nipype.workflow INFO:\n",
      "\t [Job 20] Completed (qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.ants_transform-segmentation-to-qsm).\n",
      "241115-00:58:21,833 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 3 tasks, and 1 jobs ready. Free memory (GB): 107.21/113.21, Free processors: 27/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_nilearn_t1w-seg-resampled\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp\n",
      "241115-00:58:21,953 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.combine_lists2\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/combine_lists2\".\n",
      "241115-00:58:21,961 nipype.workflow INFO:\n",
      "\t [Node] Executing \"combine_lists2\" <nipype.interfaces.utility.wrappers.Function>\n",
      "241115-00:58:21,964 nipype.workflow INFO:\n",
      "\t [Node] Finished \"combine_lists2\", elapsed time 0.001161s.\n",
      "241115-00:58:23,832 nipype.workflow INFO:\n",
      "\t [Job 26] Completed (qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.combine_lists2).\n",
      "241115-00:58:23,836 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 3 tasks, and 0 jobs ready. Free memory (GB): 107.21/113.21, Free processors: 27/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_nilearn_t1w-seg-resampled\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp\n",
      "Resampled the image\n",
      "Saved resampled image to /home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/nibabel_numpy_nilearn_t1w-seg-resampled/sub-1_ses-20170705_acq-mp2ragehighres0p5isoslab_run-01_T1w_dseg_nii_resampled.nii\n",
      "241115-00:58:27,921 nipype.workflow INFO:\n",
      "\t [Node] Finished \"nibabel_numpy_nilearn_t1w-seg-resampled\", elapsed time 7.9561340000000005s.\n",
      "241115-00:58:29,838 nipype.workflow INFO:\n",
      "\t [Job 19] Completed (qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_nilearn_t1w-seg-resampled).\n",
      "241115-00:58:29,842 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 2 tasks, and 0 jobs ready. Free memory (GB): 109.21/113.21, Free processors: 28/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp\n",
      "241115-00:58:41,571 nipype.workflow INFO:\n",
      "\t [Node] Finished \"qsmjl_vsharp\", elapsed time 59.638551s.\n",
      "241115-00:58:41,851 nipype.workflow INFO:\n",
      "\t [Job 34] Completed (qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp).\n",
      "241115-00:58:41,856 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 1 tasks, and 1 jobs ready. Free memory (GB): 111.21/113.21, Free processors: 30/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp\n",
      "241115-00:58:41,978 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_rts\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/qsm_workflow/qsmjl_rts\".\n",
      "241115-00:58:41,984 nipype.workflow INFO:\n",
      "\t [Node] Executing \"qsmjl_rts\" <qsmxt.interfaces.nipype_interface_qsmjl.RtsQsmInterface>\n",
      "241115-00:58:43,855 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 2 tasks, and 0 jobs ready. Free memory (GB): 108.80/113.21, Free processors: 28/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_rts\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp\n",
      "241115-00:58:46,774 nipype.workflow INFO:\n",
      "\t [Node] Finished \"qsmjl_vsharp\", elapsed time 64.789892s.\n",
      "241115-00:58:47,858 nipype.workflow INFO:\n",
      "\t [Job 35] Completed (qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_vsharp).\n",
      "241115-00:58:47,861 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 1 tasks, and 1 jobs ready. Free memory (GB): 110.80/113.21, Free processors: 30/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_rts\n",
      "241115-00:58:47,985 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_rts\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/qsm_workflow/qsmjl_rts\".\n",
      "241115-00:58:47,996 nipype.workflow INFO:\n",
      "\t [Node] Executing \"qsmjl_rts\" <qsmxt.interfaces.nipype_interface_qsmjl.RtsQsmInterface>\n",
      "241115-00:58:49,862 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 2 tasks, and 0 jobs ready. Free memory (GB): 108.39/113.21, Free processors: 28/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_rts\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_rts\n",
      "241115-00:59:28,817 nipype.workflow INFO:\n",
      "\t [Node] Finished \"qsmjl_rts\", elapsed time 46.832081s.\n",
      "241115-00:59:29,906 nipype.workflow INFO:\n",
      "\t [Job 36] Completed (qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_rts).\n",
      "241115-00:59:29,911 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 1 tasks, and 1 jobs ready. Free memory (GB): 110.80/113.21, Free processors: 30/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_rts\n",
      "241115-00:59:30,35 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_qsm-average\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/nibabel_numpy_qsm-average\".\n",
      "241115-00:59:30,44 nipype.workflow INFO:\n",
      "\t [Node] Executing \"nibabel_numpy_qsm-average\" <qsmxt.interfaces.nipype_interface_nonzeroaverage.NonzeroAverageInterface>\n",
      "241115-00:59:30,47 nipype.workflow INFO:\n",
      "\t [Node] Finished \"nibabel_numpy_qsm-average\", elapsed time 0.000346s.\n",
      "241115-00:59:31,908 nipype.workflow INFO:\n",
      "\t [Job 38] Completed (qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_qsm-average).\n",
      "241115-00:59:31,911 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 1 tasks, and 1 jobs ready. Free memory (GB): 110.80/113.21, Free processors: 30/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_rts\n",
      "241115-00:59:32,14 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_nilearn_qsm-resampled\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/nibabel_numpy_nilearn_qsm-resampled\".\n",
      "241115-00:59:32,23 nipype.workflow INFO:\n",
      "\t [Node] Executing \"nibabel_numpy_nilearn_qsm-resampled\" <qsmxt.interfaces.nipype_interface_resample_like.ResampleLikeInterface>\n",
      "Resampling /home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/qsm_workflow/qsmjl_rts/sub-1_ses-20170705_acq-qsmp21mmisote20_run-01_part-phase_T2starw_scaled_romeo-unwrapped_normalized_vsharp_rts.nii to /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-1/ses-20170705/anat/sub-1_ses-20170705_acq-qsmp21mmisote20_run-01_part-phase_T2starw.nii with interpolation continuous\n",
      "Loaded input and reference files\n",
      "Input image is already aligned with the reference image\n",
      "241115-00:59:32,30 nipype.workflow INFO:\n",
      "\t [Node] Finished \"nibabel_numpy_nilearn_qsm-resampled\", elapsed time 0.004009s.\n",
      "241115-00:59:33,911 nipype.workflow INFO:\n",
      "\t [Job 40] Completed (qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_nilearn_qsm-resampled).\n",
      "241115-00:59:33,915 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 1 tasks, and 2 jobs ready. Free memory (GB): 110.80/113.21, Free processors: 30/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_rts\n",
      "241115-00:59:34,50 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.combine_lists1\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/combine_lists1\".\n",
      "241115-00:59:34,51 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_qsm-referenced\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/nibabel_numpy_qsm-referenced\".\n",
      "241115-00:59:34,58 nipype.workflow INFO:\n",
      "\t [Node] Executing \"nibabel_numpy_qsm-referenced\" <qsmxt.interfaces.nipype_interface_qsm_referencing.ReferenceQSMInterface>\n",
      "241115-00:59:34,58 nipype.workflow INFO:\n",
      "\t [Node] Executing \"combine_lists1\" <nipype.interfaces.utility.wrappers.Function>\n",
      "241115-00:59:34,62 nipype.workflow INFO:\n",
      "\t [Node] Finished \"combine_lists1\", elapsed time 0.001454s.\n",
      "241115-00:59:34,810 nipype.workflow INFO:\n",
      "\t [Node] Finished \"nibabel_numpy_qsm-referenced\", elapsed time 0.750646s.\n",
      "241115-00:59:35,913 nipype.workflow INFO:\n",
      "\t [Job 42] Completed (qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_qsm-referenced).\n",
      "241115-00:59:35,915 nipype.workflow INFO:\n",
      "\t [Job 43] Completed (qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.combine_lists1).\n",
      "241115-00:59:35,917 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 1 tasks, and 1 jobs ready. Free memory (GB): 110.80/113.21, Free processors: 30/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_rts\n",
      "241115-00:59:36,61 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.create_permutations\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/create_permutations\".\n",
      "241115-00:59:36,70 nipype.workflow INFO:\n",
      "\t [Node] Executing \"create_permutations\" <nipype.interfaces.utility.wrappers.Function>\n",
      "241115-00:59:36,72 nipype.workflow INFO:\n",
      "\t [Node] Finished \"create_permutations\", elapsed time 0.000955s.\n",
      "241115-00:59:37,103 nipype.workflow INFO:\n",
      "\t [Node] Finished \"qsmjl_rts\", elapsed time 49.105482s.\n",
      "241115-00:59:37,916 nipype.workflow INFO:\n",
      "\t [Job 37] Completed (qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.qsm_workflow.qsmjl_rts).\n",
      "241115-00:59:37,918 nipype.workflow INFO:\n",
      "\t [Job 46] Completed (qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.create_permutations).\n",
      "241115-00:59:37,923 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 0 tasks, and 2 jobs ready. Free memory (GB): 113.21/113.21, Free processors: 32/32.\n",
      "241115-00:59:38,45 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_qsm-average\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/nibabel_numpy_qsm-average\".\n",
      "241115-00:59:38,54 nipype.workflow INFO:\n",
      "\t [Node] Executing \"nibabel_numpy_qsm-average\" <qsmxt.interfaces.nipype_interface_nonzeroaverage.NonzeroAverageInterface>\n",
      "241115-00:59:38,56 nipype.workflow INFO:\n",
      "\t [Node] Finished \"nibabel_numpy_qsm-average\", elapsed time 0.000363s.\n",
      "241115-00:59:38,60 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"_nibabel_numpy_analyse-qsm0\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/nibabel_numpy_analyse-qsm/mapflow/_nibabel_numpy_analyse-qsm0\".\n",
      "241115-00:59:38,63 nipype.workflow INFO:\n",
      "\t [Node] Executing \"_nibabel_numpy_analyse-qsm0\" <qsmxt.interfaces.nipype_interface_analyse.AnalyseInterface>\n",
      "241115-00:59:39,918 nipype.workflow INFO:\n",
      "\t [Job 39] Completed (qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_qsm-average).\n",
      "241115-00:59:39,921 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 1 tasks, and 1 jobs ready. Free memory (GB): 111.21/113.21, Free processors: 31/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_analyse-qsm\n",
      "241115-00:59:40,8 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_nilearn_qsm-resampled\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/nibabel_numpy_nilearn_qsm-resampled\".\n",
      "241115-00:59:40,16 nipype.workflow INFO:\n",
      "\t [Node] Executing \"nibabel_numpy_nilearn_qsm-resampled\" <qsmxt.interfaces.nipype_interface_resample_like.ResampleLikeInterface>\n",
      "Resampling /home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/qsm_workflow/qsmjl_rts/sub-2_ses-20170705_acq-qsmp21mmisote20_run-01_part-phase_T2starw_scaled_romeo-unwrapped_normalized_vsharp_rts.nii to /home/jovyan/example-notebooks/books/structural_imaging/bids/sub-2/ses-20170705/anat/sub-2_ses-20170705_acq-qsmp21mmisote20_run-01_part-phase_T2starw.nii with interpolation continuous\n",
      "Loaded input and reference files\n",
      "Input image is already aligned with the reference image\n",
      "241115-00:59:40,22 nipype.workflow INFO:\n",
      "\t [Node] Finished \"nibabel_numpy_nilearn_qsm-resampled\", elapsed time 0.004051s.\n",
      "241115-00:59:41,919 nipype.workflow INFO:\n",
      "\t [Job 41] Completed (qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_nilearn_qsm-resampled).\n",
      "241115-00:59:41,923 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 1 tasks, and 2 jobs ready. Free memory (GB): 111.21/113.21, Free processors: 31/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_analyse-qsm\n",
      "241115-00:59:42,19 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_qsm-referenced\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/nibabel_numpy_qsm-referenced\".\n",
      "241115-00:59:42,20 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.combine_lists1\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/combine_lists1\".\n",
      "241115-00:59:42,26 nipype.workflow INFO:\n",
      "\t [Node] Executing \"nibabel_numpy_qsm-referenced\" <qsmxt.interfaces.nipype_interface_qsm_referencing.ReferenceQSMInterface>\n",
      "241115-00:59:42,28 nipype.workflow INFO:\n",
      "\t [Node] Executing \"combine_lists1\" <nipype.interfaces.utility.wrappers.Function>\n",
      "241115-00:59:42,31 nipype.workflow INFO:\n",
      "\t [Node] Finished \"combine_lists1\", elapsed time 0.001169s.\n",
      "241115-00:59:42,727 nipype.workflow INFO:\n",
      "\t [Node] Finished \"nibabel_numpy_qsm-referenced\", elapsed time 0.69934s.\n",
      "241115-00:59:43,923 nipype.workflow INFO:\n",
      "\t [Job 44] Completed (qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_qsm-referenced).\n",
      "241115-00:59:43,925 nipype.workflow INFO:\n",
      "\t [Job 45] Completed (qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.combine_lists1).\n",
      "241115-00:59:43,928 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 1 tasks, and 1 jobs ready. Free memory (GB): 111.21/113.21, Free processors: 31/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_analyse-qsm\n",
      "241115-00:59:44,73 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.create_permutations\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/create_permutations\".\n",
      "241115-00:59:44,82 nipype.workflow INFO:\n",
      "\t [Node] Executing \"create_permutations\" <nipype.interfaces.utility.wrappers.Function>\n",
      "241115-00:59:44,85 nipype.workflow INFO:\n",
      "\t [Node] Finished \"create_permutations\", elapsed time 0.001182s.\n",
      "241115-00:59:45,924 nipype.workflow INFO:\n",
      "\t [Job 47] Completed (qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.create_permutations).\n",
      "241115-00:59:45,928 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 1 tasks, and 1 jobs ready. Free memory (GB): 111.21/113.21, Free processors: 31/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_analyse-qsm\n",
      "241115-00:59:46,60 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"_nibabel_numpy_analyse-qsm0\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/nibabel_numpy_analyse-qsm/mapflow/_nibabel_numpy_analyse-qsm0\".\n",
      "241115-00:59:46,65 nipype.workflow INFO:\n",
      "\t [Node] Executing \"_nibabel_numpy_analyse-qsm0\" <qsmxt.interfaces.nipype_interface_analyse.AnalyseInterface>\n",
      "241115-00:59:47,929 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 2 tasks, and 0 jobs ready. Free memory (GB): 109.21/113.21, Free processors: 30/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_analyse-qsm\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_analyse-qsm\n",
      "241115-01:00:35,479 nipype.workflow INFO:\n",
      "\t [Node] Finished \"_nibabel_numpy_analyse-qsm0\", elapsed time 49.412951s.\n",
      "241115-01:00:35,981 nipype.workflow INFO:\n",
      "\t [Job 49] Completed (qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_analyse-qsm).\n",
      "241115-01:00:35,985 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 1 tasks, and 1 jobs ready. Free memory (GB): 111.21/113.21, Free processors: 31/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_analyse-qsm\n",
      "241115-01:00:36,117 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.copyfile\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-2/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/copyfile\".\n",
      "241115-01:00:36,132 nipype.workflow INFO:\n",
      "\t [Node] Executing \"copyfile\" <qsmxt.interfaces.nipype_interface_copyfile.DynamicCopyFiles>\n",
      "241115-01:00:36,521 nipype.workflow INFO:\n",
      "\t [Node] Finished \"copyfile\", elapsed time 0.385544s.\n",
      "241115-01:00:37,983 nipype.workflow INFO:\n",
      "\t [Job 51] Completed (qsmxt-workflow.sub-2.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.copyfile).\n",
      "241115-01:00:37,987 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 1 tasks, and 0 jobs ready. Free memory (GB): 111.21/113.21, Free processors: 31/32.\n",
      "                     Currently running:\n",
      "                       * qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_analyse-qsm\n",
      "241115-01:00:53,605 nipype.workflow INFO:\n",
      "\t [Node] Finished \"_nibabel_numpy_analyse-qsm0\", elapsed time 75.540312s.\n",
      "241115-01:00:54,1 nipype.workflow INFO:\n",
      "\t [Job 48] Completed (qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.nibabel_numpy_analyse-qsm).\n",
      "241115-01:00:54,4 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 113.21/113.21, Free processors: 32/32.\n",
      "241115-01:00:54,132 nipype.workflow INFO:\n",
      "\t [Node] Setting-up \"qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.copyfile\" in \"/home/jovyan/example-notebooks/books/structural_imaging/bids/derivatives/qsmxt-workflow/sub-1/ses-20170705/qsmxt_acq-qsmp21mmisote20_run-01/copyfile\".\n",
      "241115-01:00:54,145 nipype.workflow INFO:\n",
      "\t [Node] Executing \"copyfile\" <qsmxt.interfaces.nipype_interface_copyfile.DynamicCopyFiles>\n",
      "241115-01:00:54,451 nipype.workflow INFO:\n",
      "\t [Node] Finished \"copyfile\", elapsed time 0.304206s.\n",
      "241115-01:00:56,3 nipype.workflow INFO:\n",
      "\t [Job 50] Completed (qsmxt-workflow.sub-1.ses-20170705.qsmxt_acq-qsmp21mmisote20_run-01.copyfile).\n",
      "241115-01:00:56,6 nipype.workflow INFO:\n",
      "\t [MultiProc] Running 0 tasks, and 0 jobs ready. Free memory (GB): 113.21/113.21, Free processors: 32/32.\n",
      "[INFO]: Warnings occurred!\n",
      "[INFO]: Finished\n"
     ]
    }
   ],
   "source": [
    "!qsmxt bids \\\n",
    "    --premade fast \\\n",
    "    --do_qsm \\\n",
    "    --do_segmentation \\\n",
    "    --do_analysis \\\n",
    "    --auto_yes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5bd82d02-5fa4-4734-85d9-f949a46ce0c5",
   "metadata": {
    "id": "5bd82d02-5fa4-4734-85d9-f949a46ce0c5"
   },
   "source": [
    "# View results"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42801eb6-fcbb-40de-8a62-ffaea05c898c",
   "metadata": {
    "id": "42801eb6-fcbb-40de-8a62-ffaea05c898c"
   },
   "source": [
    "Let's have a look at the generated `qsm` folder:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d291c6e8-caf2-4aa8-9073-248287dcef68",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "d291c6e8-caf2-4aa8-9073-248287dcef68",
    "outputId": "8a72572c-18eb-4306-f71d-5a3e94bc4c77"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[01;34mbids/derivatives/qsmxt-2024-11-15-004947\u001b[0m\n",
      "├── \u001b[01;34msub-1\u001b[0m\n",
      "│   └── \u001b[01;34mses-20170705\u001b[0m\n",
      "│       ├── \u001b[01;34manat\u001b[0m\n",
      "│       │   ├── \u001b[00msub-1_ses-20170705_run-01_acq-qsmp21mmisote20_Chimap.nii\u001b[0m\n",
      "│       │   ├── \u001b[00msub-1_ses-20170705_run-01_acq-qsmp21mmisote20_space-orig_dseg.nii\u001b[0m\n",
      "│       │   └── \u001b[00msub-1_ses-20170705_run-01_acq-qsmp21mmisote20_space-qsm_dseg.nii\u001b[0m\n",
      "│       └── \u001b[01;34mextra_data\u001b[0m\n",
      "│           ├── \u001b[00msub-1_ses-20170705_run-01_acq-qsmp21mmisote20_desc-t1w-to-qsm_transform.mat\u001b[0m\n",
      "│           └── \u001b[00msub-1_ses-20170705_run-01_acq-qsmp21mmisote20_qsm-analysis.csv\u001b[0m\n",
      "├── \u001b[01;34msub-2\u001b[0m\n",
      "│   └── \u001b[01;34mses-20170705\u001b[0m\n",
      "│       ├── \u001b[01;34manat\u001b[0m\n",
      "│       │   ├── \u001b[00msub-2_ses-20170705_run-01_acq-qsmp21mmisote20_Chimap.nii\u001b[0m\n",
      "│       │   ├── \u001b[00msub-2_ses-20170705_run-01_acq-qsmp21mmisote20_space-orig_dseg.nii\u001b[0m\n",
      "│       │   └── \u001b[00msub-2_ses-20170705_run-01_acq-qsmp21mmisote20_space-qsm_dseg.nii\u001b[0m\n",
      "│       └── \u001b[01;34mextra_data\u001b[0m\n",
      "│           ├── \u001b[00msub-2_ses-20170705_run-01_acq-qsmp21mmisote20_desc-t1w-to-qsm_transform.mat\u001b[0m\n",
      "│           └── \u001b[00msub-2_ses-20170705_run-01_acq-qsmp21mmisote20_qsm-analysis.csv\u001b[0m\n",
      "├── \u001b[00mcommand.txt\u001b[0m\n",
      "├── \u001b[00mpypeline.log\u001b[0m\n",
      "├── \u001b[00mqsmxt.log\u001b[0m\n",
      "├── \u001b[00mreferences.txt\u001b[0m\n",
      "└── \u001b[00msettings.json\u001b[0m\n",
      "\n",
      "8 directories, 15 files\n"
     ]
    }
   ],
   "source": [
    "!tree bids/derivatives/qsmxt-*-* --dirsfirst"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b0c7f44-1bb3-4004-be03-eb3e9807618b",
   "metadata": {
    "id": "6b0c7f44-1bb3-4004-be03-eb3e9807618b"
   },
   "source": [
    "The `references.txt` file contains a list of all the algorithms used and relevant citations:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "2e86b5f3-1e73-42c0-8cd3-d75dadda7b71",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "2e86b5f3-1e73-42c0-8cd3-d75dadda7b71",
    "outputId": "a02d2243-a25c-4175-c8e1-f4103919f5e5"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "== References ==\n",
      "\n",
      " - QSMxT: Stewart AW, Robinson SD, O'Brien K, et al. QSMxT: Robust masking and artifact reduction for quantitative susceptibility mapping. Magnetic Resonance in Medicine. 2022;87(3):1289-1300. doi:10.1002/mrm.29048\n",
      "\n",
      " - QSMxT: Stewart AW, Bollman S, et al. QSMxT/QSMxT. GitHub; 2022. https://github.com/QSMxT/QSMxT\n",
      "\n",
      " - Python package - Nipype: Gorgolewski K, Burns C, Madison C, et al. Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python. Frontiers in Neuroinformatics. 2011;5. Accessed April 20, 2022. doi:10.3389/fninf.2011.00013\n",
      "\n",
      " - Brain extraction: Smith SM. Fast robust automated brain extraction. Human Brain Mapping. 2002;17(3):143-155. doi:10.1002/hbm.10062\n",
      "\n",
      " - Brain extraction: Liangfu Chen. liangfu/bet2 - Standalone Brain Extraction Tool. GitHub; 2015. https://github.com/liangfu/bet2\n",
      "\n",
      " - Unwrapping algorithm - ROMEO: Dymerska B, Eckstein K, Bachrata B, et al. Phase unwrapping with a rapid opensource minimum spanning tree algorithm (ROMEO). Magnetic Resonance in Medicine. 2021;85(4):2294-2308. doi:10.1002/mrm.28563\n",
      "\n",
      " - Background field removal - V-SHARP: Wu B, Li W, Guidon A et al. Whole brain susceptibility mapping using compressed sensing. Magnetic resonance in medicine. 2012 Jan;67(1):137-47. doi:10.1002/mrm.23000\n",
      "\n",
      " - QSM algorithm - RTS: Kames C, Wiggermann V, Rauscher A. Rapid two-step dipole inversion for susceptibility mapping with sparsity priors. Neuroimage. 2018 Feb 15;167:276-83. doi:10.1016/j.neuroimage.2017.11.018\n",
      "\n",
      " - Julia package - QSM.jl: kamesy. GitHub; 2022. https://github.com/kamesy/QSM.jl\n",
      "\n",
      " - Julia package - MriResearchTools: Eckstein K. korbinian90/MriResearchTools.jl. GitHub; 2022. https://github.com/korbinian90/MriResearchTools.jl\n",
      "\n",
      " - Python package - nibabel: Brett M, Markiewicz CJ, Hanke M, et al. nipy/nibabel. GitHub; 2019. https://github.com/nipy/nibabel\n",
      "\n",
      " - Python package - scipy: Virtanen P, Gommers R, Oliphant TE, et al. SciPy 1.0: fundamental algorithms for scientific computing in Python. Nat Methods. 2020;17(3):261-272. doi:10.1038/s41592-019-0686-2\n",
      "\n",
      " - Python package - numpy: Harris CR, Millman KJ, van der Walt SJ, et al. Array programming with NumPy. Nature. 2020;585(7825):357-362. doi:10.1038/s41586-020-2649-2\n",
      "\n",
      " - FastSurfer: Henschel L, Conjeti S, Estrada S, Diers K, Fischl B, Reuter M. FastSurfer - A fast and accurate deep learning based neuroimaging pipeline. NeuroImage. 2020;219:117012. doi:10.1016/j.neuroimage.2020.117012\n",
      "\n",
      " - ANTs: Avants BB, Tustison NJ, Johnson HJ. Advanced Normalization Tools. GitHub; 2022. https://github.com/ANTsX/ANTs\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!cat bids/derivatives/qsmxt-*-*/references.txt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81ff07b6-dffa-44ba-91b7-ce37399d5de4",
   "metadata": {
    "id": "81ff07b6-dffa-44ba-91b7-ce37399d5de4"
   },
   "source": [
    "Let's view one of the QSM results:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "21d6d88e-ad10-4f66-adcb-2fed3ff93ccc",
   "metadata": {},
   "source": [
    "## QSM results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "65539c09-9fdf-4faf-91eb-e296ae579159",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 283
    },
    "id": "65539c09-9fdf-4faf-91eb-e296ae579159",
    "outputId": "4fcdb16c-7817-42e1-f7bb-cb84fef068b6"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x1000 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_nii(glob(\"bids/derivatives/qsmxt-*-*/sub*/ses*/anat*/*Chimap.nii*\")[0], cmap='gray', vmin=-0.15, vmax=+0.15, interpolation='nearest')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "b3125f27-ea82-463e-9d0a-74a0d8caece7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2ac230cd1f9f486680feaee0a13dd39b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "AnyNiivue()"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nv_QSM = AnyNiivue()\n",
    "nv_QSM.load_volumes([{\"path\": glob(\"bids/derivatives/qsmxt-*-*/sub*/ses*/anat*/*Chimap.nii*\")[0],\n",
    "                      \"cal_min\":-0.1,\"cal_max\":0.1}])\n",
    "nv_QSM"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81070baa-330a-4abe-9388-9666cf4e4ae5",
   "metadata": {},
   "source": [
    "## Segmentations"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a24a573-fced-42d6-b974-743b0fd9cffb",
   "metadata": {},
   "source": [
    "Segmentations are generated in both the QSM space and the T1-weighted space. Transformations are also made available."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "4a3107eb-da80-42d7-b0fc-c8e35bb89d98",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x1000 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_nii(glob(\"bids/derivatives/qsmxt-2*/sub*/ses*/anat*/*space-qsm*dseg.nii*\")[0], cmap='terrain', vmin=0, vmax=96, interpolation='nearest')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "4370b89d-f300-4b0e-a5fc-dedae02d38da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f988b2dde8354188b1086050c396f78f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "AnyNiivue()"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "volumes = [\n",
    "    {   \"path\": glob(\"bids/derivatives/qsmxt-*-*/sub*/ses*/anat*/*Chimap.nii*\")[0],\n",
    "        \"cal_min\": -0.1,\n",
    "        \"cal_max\": 0.1\n",
    "    },\n",
    "    {\n",
    "        \"path\": glob(\"bids/derivatives/qsmxt-2*/sub*/ses*/anat*/*space-qsm*dseg.nii*\")[0],\n",
    "        \"colormap\": \"freesurfer\",\n",
    "        \"visible\": True, \"opacity\": 0.5\n",
    "    },\n",
    "]\n",
    "nv_Seg = AnyNiivue(\n",
    "    back_color=(1, 1, 1, 1),\n",
    "    show_3D_crosshair=True,\n",
    ")\n",
    "nv_Seg.load_volumes(volumes)\n",
    "nv_Seg"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2e1fbcce-2af9-4509-ab92-fe8d6992ba6d",
   "metadata": {
    "id": "2e1fbcce-2af9-4509-ab92-fe8d6992ba6d"
   },
   "source": [
    "## Analysis CSVs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c81ac52-bdce-4ebe-af11-ba2fde9bdad8",
   "metadata": {},
   "source": [
    "CSV files have been exported containing susceptibility values in regions of interest for each subject."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b3859bb-b0e9-431e-b286-0ec81907c777",
   "metadata": {},
   "source": [
    "Here we will load the CSVs, inspect the data and generate figures:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "661411db-261d-484a-a9b4-6108cc241e16",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting seaborn\n",
      "  Downloading seaborn-0.13.2-py3-none-any.whl.metadata (5.4 kB)\n",
      "Requirement already satisfied: numpy in /opt/conda/lib/python3.11/site-packages (1.26.4)\n",
      "Requirement already satisfied: nibabel in /opt/conda/lib/python3.11/site-packages (5.2.1)\n",
      "Collecting pandas\n",
      "  Downloading pandas-2.2.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (89 kB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m89.9/89.9 kB\u001b[0m \u001b[31m3.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hRequirement already satisfied: matplotlib in /opt/conda/lib/python3.11/site-packages (3.8.4)\n",
      "Requirement already satisfied: packaging>=17 in /opt/conda/lib/python3.11/site-packages (from nibabel) (23.2)\n",
      "Requirement already satisfied: python-dateutil>=2.8.2 in /opt/conda/lib/python3.11/site-packages (from pandas) (2.8.2)\n",
      "Requirement already satisfied: pytz>=2020.1 in /opt/conda/lib/python3.11/site-packages (from pandas) (2023.3)\n",
      "Collecting tzdata>=2022.7 (from pandas)\n",
      "  Downloading tzdata-2024.2-py2.py3-none-any.whl.metadata (1.4 kB)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in /opt/conda/lib/python3.11/site-packages (from matplotlib) (1.2.1)\n",
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      "Successfully installed pandas-2.2.3 seaborn-0.13.2 tzdata-2024.2\n"
     ]
    }
   ],
   "source": [
    "!pip install seaborn numpy nibabel pandas matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "5006ee7b-7a2a-4661-bcc7-f14a77525f8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import modules\n",
    "import numpy as np\n",
    "import nibabel as nib\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from matplotlib import pyplot as plt\n",
    "from glob import glob"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b07279ea-9e7e-4cc7-966e-fea2d73143ca",
   "metadata": {},
   "source": [
    "The raw CSV files use names from FreeSurfer as exported by FastSurfer. The full list of regions is available [here](https://github.com/QSMxT/QSMxT/blob/main/qsmxt/aseg_labels.csv)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "099fb0cf-ebda-43a4-85d3-202dd1c1b736",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>roi</th>\n",
       "      <th>num_voxels</th>\n",
       "      <th>min</th>\n",
       "      <th>max</th>\n",
       "      <th>median</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3rd-Ventricle</td>\n",
       "      <td>591</td>\n",
       "      <td>-0.234913</td>\n",
       "      <td>0.125160</td>\n",
       "      <td>-0.021214</td>\n",
       "      <td>-0.023565</td>\n",
       "      <td>0.034334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4th-Ventricle</td>\n",
       "      <td>1593</td>\n",
       "      <td>-0.126038</td>\n",
       "      <td>0.032041</td>\n",
       "      <td>-0.047904</td>\n",
       "      <td>-0.049593</td>\n",
       "      <td>0.027453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brain-Stem</td>\n",
       "      <td>18539</td>\n",
       "      <td>-0.279218</td>\n",
       "      <td>0.103292</td>\n",
       "      <td>-0.044450</td>\n",
       "      <td>-0.040326</td>\n",
       "      <td>0.028670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CSF</td>\n",
       "      <td>777</td>\n",
       "      <td>-1.393660</td>\n",
       "      <td>0.945973</td>\n",
       "      <td>0.026742</td>\n",
       "      <td>0.028636</td>\n",
       "      <td>0.147330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Left-Accumbens-area</td>\n",
       "      <td>522</td>\n",
       "      <td>-0.142032</td>\n",
       "      <td>0.128779</td>\n",
       "      <td>0.027984</td>\n",
       "      <td>0.024042</td>\n",
       "      <td>0.029907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>ctx-rh-superiorfrontal</td>\n",
       "      <td>29681</td>\n",
       "      <td>-0.103590</td>\n",
       "      <td>0.197891</td>\n",
       "      <td>-0.003898</td>\n",
       "      <td>-0.009414</td>\n",
       "      <td>0.023874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>ctx-rh-superiorparietal</td>\n",
       "      <td>12199</td>\n",
       "      <td>-0.084345</td>\n",
       "      <td>0.259306</td>\n",
       "      <td>-0.015242</td>\n",
       "      <td>-0.014504</td>\n",
       "      <td>0.021252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>ctx-rh-superiortemporal</td>\n",
       "      <td>16300</td>\n",
       "      <td>-0.110636</td>\n",
       "      <td>0.248823</td>\n",
       "      <td>0.005964</td>\n",
       "      <td>0.012656</td>\n",
       "      <td>0.023859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>ctx-rh-supramarginal</td>\n",
       "      <td>12189</td>\n",
       "      <td>-0.056689</td>\n",
       "      <td>0.240121</td>\n",
       "      <td>0.019806</td>\n",
       "      <td>0.020491</td>\n",
       "      <td>0.022696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>ctx-rh-transversetemporal</td>\n",
       "      <td>1286</td>\n",
       "      <td>-0.005484</td>\n",
       "      <td>0.170922</td>\n",
       "      <td>0.034455</td>\n",
       "      <td>0.035450</td>\n",
       "      <td>0.015979</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>96 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                          roi  num_voxels       min       max    median  \\\n",
       "0               3rd-Ventricle         591 -0.234913  0.125160 -0.021214   \n",
       "1               4th-Ventricle        1593 -0.126038  0.032041 -0.047904   \n",
       "2                  Brain-Stem       18539 -0.279218  0.103292 -0.044450   \n",
       "3                         CSF         777 -1.393660  0.945973  0.026742   \n",
       "4         Left-Accumbens-area         522 -0.142032  0.128779  0.027984   \n",
       "..                        ...         ...       ...       ...       ...   \n",
       "91     ctx-rh-superiorfrontal       29681 -0.103590  0.197891 -0.003898   \n",
       "92    ctx-rh-superiorparietal       12199 -0.084345  0.259306 -0.015242   \n",
       "93    ctx-rh-superiortemporal       16300 -0.110636  0.248823  0.005964   \n",
       "94       ctx-rh-supramarginal       12189 -0.056689  0.240121  0.019806   \n",
       "95  ctx-rh-transversetemporal        1286 -0.005484  0.170922  0.034455   \n",
       "\n",
       "        mean       std  \n",
       "0  -0.023565  0.034334  \n",
       "1  -0.049593  0.027453  \n",
       "2  -0.040326  0.028670  \n",
       "3   0.028636  0.147330  \n",
       "4   0.024042  0.029907  \n",
       "..       ...       ...  \n",
       "91 -0.009414  0.023874  \n",
       "92 -0.014504  0.021252  \n",
       "93  0.012656  0.023859  \n",
       "94  0.020491  0.022696  \n",
       "95  0.035450  0.015979  \n",
       "\n",
       "[96 rows x 7 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_csv(glob(\"bids/derivatives/qsmxt-*-*/sub*/ses*/extra*/*.csv\")[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "740ddf37-1f9d-41b3-b9dd-dcf63129196e",
   "metadata": {
    "id": "740ddf37-1f9d-41b3-b9dd-dcf63129196e"
   },
   "source": [
    "We will select a subset of these ROIs and give them more readable names:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "c0eaa5b4-5486-4930-b641-df6eb5e7fc93",
   "metadata": {
    "id": "c0eaa5b4-5486-4930-b641-df6eb5e7fc93"
   },
   "outputs": [],
   "source": [
    "# define regions of interest\n",
    "# see https://github.com/QSMxT/QSMxT/blob/main/qsmxt/aseg_labels.csv for a full list\n",
    "rois = { \n",
    "    \"Thalamus\" : [9, 10, 48, 49],\n",
    "    \"Pallidum\" : [12, 13, 52, 53],\n",
    "    \"Caudate\" : [11, 50],\n",
    "    \"Putamen\" : [12, 51],\n",
    "    \"Brain stem\" : [16],\n",
    "    \"CSF\" : [24, 122, 257, 701],\n",
    "    \"White matter\" : [2, 7, 41, 46, 177]\n",
    "}\n",
    "roi_names = { value: key for key in rois for value in rois[key] }\n",
    "roi_ids = [value for roi in rois.values() for value in roi]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "3823f4fd-7268-42f9-9ebe-804526cad8fa",
   "metadata": {
    "id": "3823f4fd-7268-42f9-9ebe-804526cad8fa"
   },
   "outputs": [],
   "source": [
    "# load a reconstruction\n",
    "qsm = nib.load(glob(\"bids/derivatives/qsmxt-*-*/sub*/ses*/anat*/*Chimap.nii*\")[0]).get_fdata().flatten()\n",
    "seg = nib.load(glob(\"bids/derivatives/qsmxt-*-*/sub*/ses*/anat*/*space-qsm*dseg.nii*\")[0]).get_fdata().flatten()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "d55c047a-1064-4fa9-a634-962e3aad6ba0",
   "metadata": {
    "id": "d55c047a-1064-4fa9-a634-962e3aad6ba0"
   },
   "outputs": [],
   "source": [
    "# retain only the rois\n",
    "qsm = qsm[np.isin(seg, roi_ids)]\n",
    "seg = seg[np.isin(seg, roi_ids)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "c1153024-bff6-4a1d-9f45-5716184a7c1f",
   "metadata": {
    "id": "c1153024-bff6-4a1d-9f45-5716184a7c1f"
   },
   "outputs": [],
   "source": [
    "# convert to a dataframe for plotting purposes\n",
    "seg = pd.Series(seg).map(roi_names)\n",
    "data = pd.DataFrame({ 'qsm' : qsm, 'seg' : seg })"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "5bd4f92d-5f2a-42a7-9b6c-7cf12a1743cf",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "5bd4f92d-5f2a-42a7-9b6c-7cf12a1743cf",
    "outputId": "4791252b-87ee-4235-ff5b-1155acabb7dc"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>seg</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Brain stem</th>\n",
       "      <td>-0.040</td>\n",
       "      <td>0.029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White matter</th>\n",
       "      <td>-0.002</td>\n",
       "      <td>0.027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CSF</th>\n",
       "      <td>0.029</td>\n",
       "      <td>0.147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thalamus</th>\n",
       "      <td>0.030</td>\n",
       "      <td>0.034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pallidum</th>\n",
       "      <td>0.033</td>\n",
       "      <td>0.060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Putamen</th>\n",
       "      <td>0.047</td>\n",
       "      <td>0.034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Caudate</th>\n",
       "      <td>0.049</td>\n",
       "      <td>0.023</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               mean    std\n",
       "seg                       \n",
       "Brain stem   -0.040  0.029\n",
       "White matter -0.002  0.027\n",
       "CSF           0.029  0.147\n",
       "Thalamus      0.030  0.034\n",
       "Pallidum      0.033  0.060\n",
       "Putamen       0.047  0.034\n",
       "Caudate       0.049  0.023"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# summarise data by region including the average and standard deviation\n",
    "data.groupby('seg')['qsm'].agg(['mean', 'std']).sort_values('mean').round(decimals=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "44ce39d2-38ae-404e-8f33-1768121a99d3",
   "metadata": {
    "id": "44ce39d2-38ae-404e-8f33-1768121a99d3"
   },
   "outputs": [],
   "source": [
    "medians = data.groupby('seg')['qsm'].median().sort_values()\n",
    "order = medians.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "9459199e-54ba-499e-bcb6-01686af3978f",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 533
    },
    "id": "9459199e-54ba-499e-bcb6-01686af3978f",
    "outputId": "cd6bd61e-adf5-4a08-9b2b-b3f0791590c4"
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot\n",
    "fig, ax = plt.subplots()\n",
    "sns.boxplot(data=data, y='qsm', x='seg', fliersize=0, color='lightblue', order=order, ax=ax)\n",
    "ax.set_xticks(range(len(ax.get_xticks())))  # Set tick positions explicitly\n",
    "ax.set_xticklabels(ax.get_xticklabels(), ha='right', rotation=45)\n",
    "ax.set_ylim(-0.2, 0.3)\n",
    "ax.axhline(y=0, color='pink', linestyle='-', linewidth=1, zorder=-1)\n",
    "ax.set_xlabel(\"Region of interest\")\n",
    "ax.set_ylabel(\"Susceptibility (ppm)\")\n",
    "ax.set_title(\"QSM\")\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "include_colab_link": true,
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}