{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Create interfaces\n", "\n", "This section is meant for the more advanced user. In it we will discuss how you can create your own interface, i.e. wrapping your own code, so that you can use it with Nipype.\n", "\n", "In this notebook we will show you:\n", "\n", "1. Example of an already implemented interface\n", "2. What are the main parts of a Nipype interface?\n", "3. How to wrap a CommandLine interface?\n", "4. How to wrap a Python interface?\n", "5. How to wrap a MATLAB interface?\n", "\n", "But before we can start, let's recap again the difference between interfaces and workflows." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Interfaces vs. Workflows\n", "\n", "Interfaces are the building blocks that solve well-defined tasks. We solve more complex tasks by combining interfaces with workflows:\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
InterfacesWorkflows
Wrap *unitary* tasksWrap *meta*-tasks\n", "
  • implemented with nipype interfaces wrapped inside ``Node`` objects
  • \n", "
  • subworkflows can also be added to a workflow without any wrapping
  • \n", "
    Keep track of the inputs and outputs, and check their expected typesDo not have inputs/outputs, but expose them from the interfaces wrapped inside
    Do not cache results (unless you use [interface caching](advanced_interfaces_caching.ipynb))Cache results
    Run by a nipype pluginRun by a nipype plugin
    " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Example of an already implemented interface" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For this notebook, we'll work on the following T1-weighted dataset located in ``/data/ds000114/sub-01/ses-test/anat/sub-01_ses-test_T1w.nii.gz``:" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from nilearn.plotting import plot_anat\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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    " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_anat('/data/ds000114/sub-01/ses-test/anat/sub-01_ses-test_T1w.nii.gz', dim=-1);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Example of interface: FSL's `BET`\n", "\n", "Nipype offers a series of Python interfaces to various external packages (e.g. FSL, SPM or FreeSurfer) even if they themselves are written in programming languages other than python. Such interfaces know what sort of options their corresponding tool has and how to execute it.\n", "\n", "To illustrate why interfaces are so useful, let's have a look at the brain extraction algorithm [BET](http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/BET) from FSL. Once in its original framework and once in the Nipype framework." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The tool can be run directly in a bash shell using the following command line:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "%%bash\n", "bet /data/ds000114/sub-01/ses-test/anat/sub-01_ses-test_T1w.nii.gz \\\n", " /data/ds000114/sub-01/ses-test/anat/sub-01_ses-test_T1w_bet.nii.gz" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "... which yields the following:" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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    " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_anat('/data/ds000114/sub-01/ses-test/anat/sub-01_ses-test_T1w_bet.nii.gz', dim=-1);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Using nipype, the equivalent is a bit more verbose:\n", " - line 1: The first line imports the interface\n", " - line 2: Then, the interface is instantiated. We provide here the input file.\n", " - line 3: Finally, we run the interface\n", " - line 4: The output file name can be automatically handled by nipype, and we will use that feature here" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/home/neuro/workshop_weizmann/workshop/nipype/notebooks/sub-01_ses-test_T1w_brain.nii.gz\n" ] } ], "source": [ "from nipype.interfaces.fsl import BET\n", "skullstrip = BET(in_file='/data/ds000114/sub-01/ses-test/anat/sub-01_ses-test_T1w.nii.gz')\n", "res = skullstrip.run()\n", "print(res.outputs.out_file)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we can verify that the result is exactly the same as before. Please note that, since we are using a Python environment, we use the result of the execution to point our ``plot_anat`` function to the output image of running BET:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
    " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_anat(res.outputs.out_file, dim=-1);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# What are the main parts of a Nipype interface?\n", "\n", "Nipype is designed to ease writing interfaces for new software. Nipype interfaces are designed with three elements that are intuitive:\n", " - A specification of inputs (or the ``InputSpec``)\n", " - A specification of outputs (or the ``OutputSpec``)\n", " - An interface *core* which implements the ``run()`` method we've seen before for BET, and which puts together inputs and outputs." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# The ``CommandLine`` interface\n", "\n", "## A quick example\n", "\n", "The easiest and quickest way to run any command line is the ``CommandLine`` interface, which has a very simple specification of inputs ready to use:" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Implements functionality to interact with command line programs\n", "class must be instantiated with a command argument\n", "\n", "Parameters\n", "----------\n", "command : str\n", " define base immutable `command` you wish to run\n", "args : str, optional\n", " optional arguments passed to base `command`\n", "\n", "Examples\n", "--------\n", ">>> import pprint\n", ">>> from nipype.interfaces.base import CommandLine\n", ">>> cli = CommandLine(command='ls', environ={'DISPLAY': ':1'})\n", ">>> cli.inputs.args = '-al'\n", ">>> cli.cmdline\n", "'ls -al'\n", "\n", ">>> # Use get_traitsfree() to check all inputs set\n", ">>> pprint.pprint(cli.inputs.get_traitsfree()) # doctest:\n", "{'args': '-al',\n", " 'environ': {'DISPLAY': ':1'}}\n", "\n", ">>> cli.inputs.get_hashval()[0][0]\n", "('args', '-al')\n", ">>> cli.inputs.get_hashval()[1]\n", "'11c37f97649cd61627f4afe5136af8c0'\n", "\n", "Inputs::\n", "\n", " [Optional]\n", " args: (a string)\n", " Additional parameters to the command\n", " argument: ``%s``\n", " environ: (a dictionary with keys which are a bytes or None or a value\n", " of class 'str' and with values which are a bytes or None or a\n", " value of class 'str', nipype default value: {})\n", " Environment variables\n", "\n", "Outputs::\n", "\n", " None\n", "\n" ] } ], "source": [ "from nipype.interfaces.base import CommandLine\n", "CommandLine.help()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As a quick example, let's wrap bash's ``ls`` with Nipype:" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "nipype_ls = CommandLine('ls', args='-lh', terminal_output='allatonce')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, we have a Python object ``nipype_ls`` that is a runnable nipype interface. After execution, Nipype interface returns a result object. We can retrieve the output of our ``ls`` invocation from the ``result.runtime`` property:" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "total 3.0M\n", "-rw-rw-r-- 1 neuro users 6.0K Oct 14 12:54 advanced_aws.ipynb\n", "-rw-rw-r-- 1 neuro users 48K Oct 14 12:54 advanced_create_interfaces.ipynb\n", "-rw-rw-r-- 1 neuro users 9.1K Oct 14 12:54 advanced_interfaces_caching.ipynb\n", "-rw-rw-r-- 1 neuro users 1.5K Oct 14 12:54 advanced_mipav.ipynb\n", "-rw-rw-r-- 1 neuro users 1.1K Oct 14 12:54 advanced_nipypecli.ipynb\n", "-rw-rw-r-- 1 neuro users 5.6K Oct 14 12:54 advanced_sphinx_ext.ipynb\n", "-rw-rw-r-- 1 neuro users 2.1K Oct 14 12:54 advanced_spmmcr.ipynb\n", "-rw-rw-r-- 1 neuro users 14K Oct 14 12:54 basic_data_input_bids.ipynb\n", "-rw-rw-r-- 1 neuro users 28K Oct 14 12:54 basic_data_input.ipynb\n", "-rw-rw-r-- 1 neuro users 19K Oct 14 12:54 basic_data_output.ipynb\n", "-rw-rw-r-- 1 neuro users 4.1K Oct 14 12:54 basic_debug.ipynb\n", "-rw-rw-r-- 1 neuro users 21K Oct 14 12:54 basic_error_and_crashes.ipynb\n", "-rw-rw-r-- 1 neuro users 17K Oct 14 12:54 basic_execution_configuration.ipynb\n", "-rw-rw-r-- 1 neuro users 9.1K Oct 14 12:54 basic_function_interface.ipynb\n", "-rw-rw-r-- 1 neuro users 11K Oct 14 12:54 basic_graph_visualization.ipynb\n", "-rw-rw-r-- 1 neuro users 9.2K Oct 14 12:54 basic_import_workflows.ipynb\n", "-rw-rw-r-- 1 neuro users 25K Oct 14 12:54 basic_interfaces.ipynb\n", "-rw-rw-r-- 1 neuro users 12K Oct 14 12:54 basic_iteration.ipynb\n", "-rw-rw-r-- 1 neuro users 19K Oct 14 12:54 basic_joinnodes.ipynb\n", "-rw-rw-r-- 1 neuro users 13K Oct 14 12:54 basic_mapnodes.ipynb\n", "-rw-rw-r-- 1 neuro users 7.6K Oct 14 12:54 basic_model_specification_fmri.ipynb\n", "-rw-rw-r-- 1 neuro users 9.6K Oct 14 12:54 basic_nodes.ipynb\n", "-rw-rw-r-- 1 neuro users 17K Oct 14 12:54 basic_plugins.ipynb\n", "-rw-rw-r-- 1 neuro users 34K Oct 14 12:54 basic_workflow.ipynb\n", "-rw-rw-r-- 1 neuro users 24K Oct 14 12:54 example_1stlevel.ipynb\n", "-rw-rw-r-- 1 neuro users 20K Oct 14 12:54 example_2ndlevel.ipynb\n", "-rw-rw-r-- 1 neuro users 21K Oct 14 12:54 example_normalize.ipynb\n", "-rw-rw-r-- 1 neuro users 19K Oct 14 12:54 example_preprocessing.ipynb\n", "-rw-rw-r-- 1 neuro users 48K Oct 14 12:54 handson_analysis.ipynb\n", "-rw-rw-r-- 1 neuro users 51K Oct 14 12:54 handson_preprocessing.ipynb\n", "-rw-rw-r-- 1 neuro users 5.6K Oct 14 12:54 introduction_dataset.ipynb\n", "-rw-rw-r-- 1 neuro users 6.9K Oct 14 12:54 introduction_neurodocker.ipynb\n", "-rw-rw-r-- 1 neuro users 33K Oct 14 12:54 introduction_quickstart.ipynb\n", "-rw-rw-r-- 1 neuro users 33K Oct 14 13:50 introduction_quickstart_non-neuroimaging.ipynb\n", "-rw-rw-r-- 1 neuro users 11K Oct 14 12:54 introduction_showcase.ipynb\n", "-rw-rw-r-- 1 neuro users 650K Oct 14 12:54 remark-latest.min.js\n", "-rw-rw-r-- 1 neuro users 2.0K Oct 14 12:54 resources_help.ipynb\n", "-rw-rw-r-- 1 neuro users 6.8K Oct 14 12:54 resources_installation.ipynb\n", "-rw-rw-r-- 1 neuro users 19K Oct 14 12:54 resources_python_cheat_sheet.ipynb\n", "-rw-rw-r-- 1 neuro users 3.8K Oct 14 12:54 resources_resources.ipynb\n", "drwxr-xr-x 5 neuro users 160 Oct 14 12:54 scripts\n", "-rw-r--r-- 1 neuro users 1.7M Oct 17 16:35 sub-01_ses-test_T1w_brain.nii.gz\n" ] } ], "source": [ "result = nipype_ls.run()\n", "print(result.runtime.stdout)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Create your own `CommandLine` interface\n", "\n", "Let's create a Nipype Interface for a very simple tool called ``antsTransformInfo`` from the [ANTs](http://stnava.github.io/ANTs/) package. This tool is so simple it does not even have a usage description for bash. Using it with a file, gives us the following result: " ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Transform file: /home/neuro/workshop/nipype_tutorial/notebooks/scripts/transform.tfm\n", "AffineTransform (0x55fc2c6339d0)\n", " RTTI typeinfo: itk::AffineTransform\n", " Reference Count: 3\n", " Modified Time: 660\n", " Debug: Off\n", " Object Name: \n", " Observers: \n", " none\n", " Matrix: \n", " 1.0201 -0.00984231 0.00283729 \n", " -0.245557 0.916396 0.324585 \n", " -0.0198016 -0.00296066 0.988634 \n", " Offset: [2.00569, -15.15, -1.26341]\n", " Center: [-3.37801, 17.4338, 8.46811]\n", " Translation: [1.79024, -13.0295, -1.34439]\n", " Inverse: \n", " 0.982713 0.0105343 -0.00627888 \n", " 0.256084 1.09282 -0.359526 \n", " 0.0204499 0.00348366 1.01029 \n", " Singular: 0\n", "\n" ] } ], "source": [ "%%bash\n", "antsTransformInfo /home/neuro/workshop/nipype_tutorial/notebooks/scripts/transform.tfm" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### So let's plan our implementation:\n", "\n", " 1. The command line name is ``antsTransformInfo``.\n", " 2. It only accepts one text file (containing an ITK transform file) as input, and it is a positional argument.\n", " 3. It prints out the properties of the transform in the input file. For the purpose of this notebook, we are only interested in extracting the translation values.\n", " \n", "For the first item of this roadmap, we will just need to derive a new Python class from the ``nipype.interfaces.base.CommandLine`` base. To indicate the appropriate command line, we set the member ``_cmd``:" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "class TransformInfo(CommandLine):\n", " _cmd = 'antsTransformInfo'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This is enough to have a nipype compatible interface for this tool:" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Wraps the executable command ``antsTransformInfo``.\n", "\n", "Inputs::\n", "\n", " [Optional]\n", " args: (a string)\n", " Additional parameters to the command\n", " argument: ``%s``\n", " environ: (a dictionary with keys which are a bytes or None or a value\n", " of class 'str' and with values which are a bytes or None or a\n", " value of class 'str', nipype default value: {})\n", " Environment variables\n", "\n", "Outputs::\n", "\n", " None\n", "\n" ] } ], "source": [ "TransformInfo.help()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Specifying the inputs\n", "\n", "However, the ``args`` argument is too generic and does not deviate much from just running it in bash, or directly using ``subprocess.Popen``. Let's define the inputs specification for the interface, extending the ``nipype.interfaces.base.CommandLineInputSpec`` class.\n", "\n", "The inputs are implemented using the Enthought traits package. For now, we'll use the ``File`` trait extension of nipype:" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "from nipype.interfaces.base import CommandLineInputSpec, File\n", "\n", "class TransformInfoInputSpec(CommandLineInputSpec):\n", " in_file = File(exists=True, mandatory=True, argstr='%s',\n", " position=0, desc='the input transform file')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Some settings are done for this ``File`` object:\n", "- ``exists=True`` indicates Nipype that the file must exist when it is set\n", "- ``mandatory=True`` checks that this input was set before running because the program would crash otherwise\n", "- ``argstr='%s'`` indicates how this input parameter should be formatted\n", "- ``position=0`` indicates that this is the first positional argument\n", "\n", "We can now decorate our ``TransformInfo`` core class with its input, by setting the ``input_spec`` member:" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "class TransformInfo(CommandLine):\n", " _cmd = 'antsTransformInfo'\n", " input_spec = TransformInfoInputSpec" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Our interface now has one mandatory input, and inherits some optional inputs from the ``CommandLineInputSpec``:" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Wraps the executable command ``antsTransformInfo``.\n", "\n", "Inputs::\n", "\n", " [Mandatory]\n", " in_file: (a pathlike object or string representing an existing file)\n", " the input transform file\n", " argument: ``%s``, position: 0\n", "\n", " [Optional]\n", " args: (a string)\n", " Additional parameters to the command\n", " argument: ``%s``\n", " environ: (a dictionary with keys which are a bytes or None or a value\n", " of class 'str' and with values which are a bytes or None or a\n", " value of class 'str', nipype default value: {})\n", " Environment variables\n", "\n", "Outputs::\n", "\n", " None\n", "\n" ] } ], "source": [ "TransformInfo.help()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "One interesting feature of the Nipype interface is that the underlying command line can be checked using the object property ``cmdline``. The command line can only be built when the mandatory inputs are set, so let's instantiate our new Interface for the first time, and check the underlying command line:" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "antsTransformInfo /home/neuro/workshop/nipype_tutorial/notebooks/scripts/transform.tfm\n" ] } ], "source": [ "my_info_interface = TransformInfo(in_file='/home/neuro/workshop/nipype_tutorial/notebooks/scripts/transform.tfm')\n", "print(my_info_interface.cmdline)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Nipype will make sure that the parameters fulfill their prescribed attributes. For instance, ``in_file`` is mandatory. An error is issued if we build the command line or try to run this interface without it:" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "It crashed with...\n", "ValueError: TransformInfo requires a value for input 'in_file'. For a list of required inputs, see TransformInfo.help()\n" ] } ], "source": [ "try:\n", " TransformInfo().cmdline\n", "\n", "except(ValueError) as err:\n", " print('It crashed with...')\n", " print(\"ValueError:\", err)\n", "else:\n", " raise" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It will also complain if we try to set a non-existent file:" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "It crashed with...\n", "TraitError: The 'in_file' trait of a TransformInfoInputSpec instance must be a pathlike object or string representing an existing file, but a value of 'idontexist.tfm' was specified.\n" ] } ], "source": [ "try:\n", " my_info_interface.inputs.in_file = 'idontexist.tfm'\n", "\n", "except(Exception) as err:\n", " print('It crashed with...')\n", " print(\"TraitError:\", err)\n", "else:\n", " raise" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Specifying the outputs\n", "The outputs are defined in a similar way. Let's define a custom output for our interface which is a list of three float element. The output traits are derived from a simpler base class called ``TraitedSpec``. We also import the two data representations we need ``List`` and ``Float``:" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "from nipype.interfaces.base import TraitedSpec, traits\n", "\n", "class TransformInfoOutputSpec(TraitedSpec):\n", " translation = traits.List(traits.Float, desc='the translation component of the input transform')\n", " \n", "class TransformInfo(CommandLine):\n", " _cmd = 'antsTransformInfo'\n", " input_spec = TransformInfoInputSpec\n", " output_spec = TransformInfoOutputSpec" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And now, our new output is in place:" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Wraps the executable command ``antsTransformInfo``.\n", "\n", "Inputs::\n", "\n", " [Mandatory]\n", " in_file: (a pathlike object or string representing an existing file)\n", " the input transform file\n", " argument: ``%s``, position: 0\n", "\n", " [Optional]\n", " args: (a string)\n", " Additional parameters to the command\n", " argument: ``%s``\n", " environ: (a dictionary with keys which are a bytes or None or a value\n", " of class 'str' and with values which are a bytes or None or a\n", " value of class 'str', nipype default value: {})\n", " Environment variables\n", "\n", "Outputs::\n", "\n", " translation: (a list of items which are a float)\n", " the translation component of the input transform\n", "\n" ] } ], "source": [ "TransformInfo.help()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### We are almost there - final needs\n", "If we run the interface, we'll be able to see that this tool only writes some text to the standard output, but we just want to extract the ``Translation`` field and generate a Python object from it." ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "my_info_interface = TransformInfo(in_file='/home/neuro/workshop/nipype_tutorial/notebooks/scripts/transform.tfm',\n", " terminal_output='allatonce')\n", "result = my_info_interface.run()" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Transform file: /home/neuro/workshop/nipype_tutorial/notebooks/scripts/transform.tfm\n", "AffineTransform (0x556f275389d0)\n", " RTTI typeinfo: itk::AffineTransform\n", " Reference Count: 3\n", " Modified Time: 660\n", " Debug: Off\n", " Object Name: \n", " Observers: \n", " none\n", " Matrix: \n", " 1.0201 -0.00984231 0.00283729 \n", " -0.245557 0.916396 0.324585 \n", " -0.0198016 -0.00296066 0.988634 \n", " Offset: [2.00569, -15.15, -1.26341]\n", " Center: [-3.37801, 17.4338, 8.46811]\n", " Translation: [1.79024, -13.0295, -1.34439]\n", " Inverse: \n", " 0.982713 0.0105343 -0.00627888 \n", " 0.256084 1.09282 -0.359526 \n", " 0.0204499 0.00348366 1.01029 \n", " Singular: 0\n", "\n" ] } ], "source": [ "print(result.runtime.stdout)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We need to complete the functionality of the ``run()`` member of our interface to parse the standard output. This is done extending its ``_run_interface()`` member.\n", "\n", "When we define outputs, generally they need to be explicitly wired in the ``_list_outputs()`` member of the core class. Let's see how we can *complete* those:" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "class TransformInfo(CommandLine):\n", " _cmd = 'antsTransformInfo'\n", " input_spec = TransformInfoInputSpec\n", " output_spec = TransformInfoOutputSpec\n", " \n", " def _run_interface(self, runtime):\n", " import re\n", " \n", " # Run the command line as a natural CommandLine interface\n", " runtime = super(TransformInfo, self)._run_interface(runtime)\n", "\n", " # Search transform in the standard output\n", " expr_tra = re.compile('Translation:\\s+\\[(?P[0-9\\.-]+,\\s[0-9\\.-]+,\\s[0-9\\.-]+)\\]')\n", " trans = [float(v) for v in expr_tra.search(runtime.stdout).group('translation').split(', ')]\n", " \n", " # Save it for later use in _list_outputs\n", " setattr(self, '_result', trans)\n", " \n", " # Good to go\n", " return runtime\n", " \n", " def _list_outputs(self):\n", " \n", " # Get the attribute saved during _run_interface\n", " return {'translation': getattr(self, '_result')}" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's run this interface (we set ``terminal_output='allatonce'`` to reduce the length of this manual, default would otherwise be `'stream'`):" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "my_info_interface = TransformInfo(in_file='/home/neuro/workshop/nipype_tutorial/notebooks/scripts/transform.tfm',\n", " terminal_output='allatonce')\n", "result = my_info_interface.run()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we can retrieve our outcome of interest as an output:" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[1.79024, -13.0295, -1.34439]" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "result.outputs.translation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Summary of a `CommandLine` interface\n", "\n", "Now putting it all togehter, it looks as follows:" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [], "source": [ "from nipype.interfaces.base import (CommandLine, CommandLineInputSpec,\n", " TraitedSpec, traits, File)\n", "\n", "class TransformInfoInputSpec(CommandLineInputSpec):\n", " in_file = File(exists=True, mandatory=True, argstr='%s', position=0,\n", " desc='the input transform file')\n", "\n", "class TransformInfoOutputSpec(TraitedSpec):\n", " translation = traits.List(traits.Float, desc='the translation component of the input transform')\n", "\n", "class TransformInfo(CommandLine):\n", " _cmd = 'antsTransformInfo'\n", " input_spec = TransformInfoInputSpec\n", " output_spec = TransformInfoOutputSpec\n", " \n", " def _run_interface(self, runtime):\n", " import re\n", " \n", " # Run the command line as a natural CommandLine interface\n", " runtime = super(TransformInfo, self)._run_interface(runtime)\n", "\n", " # Search transform in the standard output\n", " expr_tra = re.compile('Translation:\\s+\\[(?P[0-9\\.-]+,\\s[0-9\\.-]+,\\s[0-9\\.-]+)\\]')\n", " trans = [float(v) for v in expr_tra.search(runtime.stdout).group('translation').split(', ')]\n", " \n", " # Save it for later use in _list_outputs\n", " setattr(self, '_result', trans)\n", " \n", " # Good to go\n", " return runtime\n", " \n", " def _list_outputs(self):\n", " \n", " # Get the attribute saved during _run_interface\n", " return {'translation': getattr(self, '_result')}" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[1.79024, -13.0295, -1.34439]" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "my_info_interface = TransformInfo(in_file='/home/neuro/workshop/nipype_tutorial/notebooks/scripts/transform.tfm',\n", " terminal_output='allatonce')\n", "result = my_info_interface.run()\n", "result.outputs.translation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Wrapping up - fast use case for simple `CommandLine` wrapper\n", "\n", "For more standard neuroimaging software, generally we will just have to specify simple flags, i.e. input and output images and some additional parameters. If that is the case, then there is no need to extend the ``run()`` method.\n", "\n", "Let's look at a quick, partial, implementation of FSL's BET:" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [], "source": [ "from nipype.interfaces.base import CommandLineInputSpec, File, TraitedSpec\n", "\n", "class CustomBETInputSpec(CommandLineInputSpec):\n", " in_file = File(exists=True, mandatory=True, argstr='%s', position=0, desc='the input image')\n", " mask = traits.Bool(mandatory=False, argstr='-m', position=2, desc='create binary mask image')\n", "\n", " # Do not set exists=True for output files!\n", " out_file = File(mandatory=True, argstr='%s', position=1, desc='the output image')\n", " \n", "class CustomBETOutputSpec(TraitedSpec):\n", " out_file = File(desc='the output image')\n", " mask_file = File(desc=\"path/name of binary brain mask (if generated)\")\n", " \n", "class CustomBET(CommandLine):\n", " _cmd = 'bet'\n", " input_spec = CustomBETInputSpec\n", " output_spec = CustomBETOutputSpec\n", " \n", " def _list_outputs(self):\n", "\n", " # Get the attribute saved during _run_interface\n", " return {'out_file': self.inputs.out_file,\n", " 'mask_file': self.inputs.out_file.replace('brain', 'brain_mask')}" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [], "source": [ "my_custom_bet = CustomBET()\n", "my_custom_bet.inputs.in_file = '/data/ds000114/sub-01/ses-test/anat/sub-01_ses-test_T1w.nii.gz'\n", "my_custom_bet.inputs.out_file = 'sub-01_T1w_brain.nii.gz'\n", "my_custom_bet.inputs.mask = True\n", "result = my_custom_bet.run()" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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    " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_anat(result.outputs.out_file, dim=-1);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Create your own `Python` interface\n", "\n", "`CommandLine` interface is great, but my tool is already in Python - can I wrap it natively?\n", "\n", "Sure. Let's solve the following problem: Let's say we have a Python function that takes an input image and a list of three translations (x, y, z) in mm, and then writes a resampled image after the translation has been applied:" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "def translate_image(img, translation, out_file):\n", "\n", " import nibabel as nb\n", " import numpy as np\n", " from scipy.ndimage.interpolation import affine_transform\n", " \n", " # Load the data\n", " nii = nb.load(img)\n", " data = nii.get_fdata()\n", " \n", " # Create the transformation matrix\n", " matrix = np.eye(3)\n", " trans = (np.array(translation) / nii.header.get_zooms()[:3]) * np.array([1.0, -1.0, -1.0])\n", " \n", " # Apply the transformation matrix\n", " newdata = affine_transform(data, matrix=matrix, offset=trans)\n", " \n", " # Save the new data in a new NIfTI image\n", " nb.Nifti1Image(newdata, nii.affine, nii.header).to_filename(out_file)\n", " \n", " print('Translated file now is here: %s' % out_file)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's see how this function operates:" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Translated file now is here: translated.nii.gz\n" ] } ], "source": [ "orig_image = '/data/ds000114/sub-01/ses-test/anat/sub-01_ses-test_T1w.nii.gz'\n", "translation = [20.0, -20.0, -20.0]\n", "translated_image = 'translated.nii.gz'\n", "\n", "# Let's run the translate_image function on our inputs\n", "translate_image(orig_image,\n", " translation,\n", " translated_image)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now that the function was executed, let's plot the original and the translated image." ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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    " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_anat(orig_image, dim=-1);" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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    " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_anat('translated.nii.gz', dim=-1);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Perfect, we see that the translation was applied." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Quick approach - ``Function`` interface\n", "\n", "Don't reinvent the wheel if it's not necessary. If like in this case, we have a well-defined function we want to run with Nipype, it is fairly easy to solve it with the ``Function`` interface:" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [], "source": [ "from nipype.interfaces.utility import Function\n", "\n", "my_python_interface = Function(\n", " input_names=['img', 'translation', 'out_file'],\n", " output_names=['out_file'],\n", " function=translate_image\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The arguments of ``translate_image`` should ideally be listed in the same order and with the same names as in the signature of the function. The same should be the case for the outputs. Finally, the ``Function`` interface takes a ``function`` input that is pointed to your python code.\n", "\n", "***Note***: The inputs and outputs do not pass any kind of conformity checking: the function node will take any kind of data type for their inputs and outputs.\n", "\n", "There are some other limitations to the ``Function`` interface when used inside workflows. Additionally, the function must be totally self-contained, since it will run with no global context. In practice, it means that **all the imported modules and variables must be defined within the context of the function**.\n", "\n", "For more, check out the [Function Node](basic_function_nodes.ipynb) notebook." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Back to our `Function` interface. You can run it as any other interface object of Nipype:" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [], "source": [ "# Set inputs\n", "my_python_interface.inputs.img = '/data/ds000114/sub-01/ses-test/anat/sub-01_ses-test_T1w.nii.gz'\n", "my_python_interface.inputs.translation = [-35.0, 35.0, 35.0]\n", "my_python_interface.inputs.out_file = 'translated_functioninterface.nii.gz'" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Translated file now is here: translated_functioninterface.nii.gz\n" ] } ], "source": [ "# Run the interface\n", "result = my_python_interface.run()" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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    " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot the result\n", "plot_anat('translated_functioninterface.nii.gz', dim=-1);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Complete approach - pure `Python` interface\n", "\n", "Now, we face the problem of interfacing something different from a command line. Therefore, the ``CommandLine`` base class will not help us here. The specification of the inputs and outputs, though, will work the same way.\n", "\n", "Let's start from that point on. Our Python function takes in three inputs: (1) the input image, (2) the translation and (3) an output image.\n", "\n", "The specification of inputs and outputs must be familiar to you at this point. Please note that now, input specification is derived from ``BaseInterfaceInputSpec``, which is a bit thinner than ``CommandLineInputSpec``. The output specification can be derived from ``TraitedSpec`` as before:" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [], "source": [ "from nipype.interfaces.base import BaseInterfaceInputSpec, File, TraitedSpec\n", "\n", "class TranslateImageInputSpec(BaseInterfaceInputSpec):\n", " in_file = File(exists=True, mandatory=True, desc='the input image')\n", " out_file = File(mandatory=True, desc='the output image') # Do not set exists=True !!\n", " translation = traits.List([50.0, 0.0, 0.0], traits.Float, usedefault=True,\n", " desc='the translation component of the input transform')\n", " \n", "class TranslateImageOutputSpec(TraitedSpec):\n", " out_file = File(desc='the output image')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Similarily to the change of base class for the input specification, the core of our new interface will derive from ``BaseInterface`` instead of ``CommandLineInterface``:" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [], "source": [ "from nipype.interfaces.base import BaseInterface\n", "\n", "class TranslateImage(BaseInterface):\n", " input_spec = TranslateImageInputSpec\n", " output_spec = TranslateImageOutputSpec" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "At this point, we have defined a pure python interface but it is unable to do anything because we didn't implement a ``_run_interface()`` method yet." ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Inputs::\n", "\n", " [Mandatory]\n", " in_file: (a pathlike object or string representing an existing file)\n", " the input image\n", " out_file: (a pathlike object or string representing a file)\n", " the output image\n", "\n", " [Optional]\n", " translation: (a list of items which are a float, nipype default\n", " value: [50.0, 0.0, 0.0])\n", " the translation component of the input transform\n", "\n", "Outputs::\n", "\n", " out_file: (a pathlike object or string representing a file)\n", " the output image\n", "\n" ] } ], "source": [ "TranslateImage.help()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "What happens if we try to run such an interface without specifying the `_run_interface()` function?" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [], "source": [ "will_fail_at_run = TranslateImage(\n", " in_file='/data/ds000114/sub-01/ses-test/anat/sub-01_ses-test_T1w.nii.gz',\n", " out_file='translated.nii.gz')" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "It crashed with...\n", "NotImplementedError: \n" ] } ], "source": [ "try:\n", " result = will_fail_at_run.run()\n", "\n", "except(NotImplementedError) as err:\n", " print('It crashed with...')\n", " print(\"NotImplementedError:\", err)\n", "else:\n", " raise" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "So, let's implement the missing part. As we would imagine, this needs to be very similar to what we did before with the ``TransformInfo`` interface:" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [], "source": [ "class TranslateImage(BaseInterface):\n", " input_spec = TranslateImageInputSpec\n", " output_spec = TranslateImageOutputSpec\n", " \n", " def _run_interface(self, runtime):\n", " \n", " # Call our python code here:\n", " translate_image(\n", " self.inputs.in_file,\n", " self.inputs.translation,\n", " self.inputs.out_file\n", " )\n", " \n", " # And we are done\n", " return runtime" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If we run it know, our interface will get further:" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [], "source": [ "half_works = TranslateImage(\n", " in_file='/data/ds000114/sub-01/ses-test/anat/sub-01_ses-test_T1w.nii.gz',\n", " out_file='translated_nipype.nii.gz')" ] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Translated file now is here: translated_nipype.nii.gz\n", "It crashed with...\n", "NotImplementedError: \n" ] } ], "source": [ "try:\n", " result = half_works.run()\n", "\n", "except(NotImplementedError) as err:\n", " print('It crashed with...')\n", " print(\"NotImplementedError:\", err)\n", "else:\n", " raise" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "... but still, it crashes becasue we haven't specified any ``_list_outputs()`` method. I.e. our python function is called, but the interface crashes when the execution arrives to retrieving the outputs.\n", "\n", "Let's fix that:" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [], "source": [ "from nipype.interfaces.base import BaseInterfaceInputSpec, BaseInterface, File, TraitedSpec\n", "\n", "class TranslateImageInputSpec(BaseInterfaceInputSpec):\n", " in_file = File(exists=True, mandatory=True, desc='the input image')\n", " out_file = File(mandatory=True, desc='the output image') # Do not set exists=True !!\n", " translation = traits.List([50.0, 0.0, 0.0], traits.Float, usedefault=True,\n", " desc='the translation component of the input transform')\n", " \n", "class TranslateImageOutputSpec(TraitedSpec):\n", " out_file = File(desc='the output image')\n", "\n", "class TranslateImage(BaseInterface):\n", " input_spec = TranslateImageInputSpec\n", " output_spec = TranslateImageOutputSpec\n", " \n", " def _run_interface(self, runtime):\n", "\n", " # Call our python code here:\n", " translate_image(\n", " self.inputs.in_file,\n", " self.inputs.translation,\n", " self.inputs.out_file\n", " )\n", " # And we are done\n", " return runtime\n", "\n", " def _list_outputs(self):\n", " return {'out_file': self.inputs.out_file}" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, we have everything together. So let's run it and visualize the output file." ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Translated file now is here: translated_nipype.nii.gz\n" ] } ], "source": [ "this_works = TranslateImage(\n", " in_file='/data/ds000114/sub-01/ses-test/anat/sub-01_ses-test_T1w.nii.gz',\n", " out_file='translated_nipype.nii.gz')\n", "\n", "result = this_works.run()" ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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    " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_anat(result.outputs.out_file, dim=-1);" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "# Create your own `MATLAB` interface\n", "\n", "Last but not least, let's take a look at how we would create a `MATLAB` interface. For this purpose, let's say we want to run some matlab code that counts the number of voxels in an MRI image with intensity larger than zero. Such a value could give us an estimation of the brain volume (in voxels) of a skull-stripped image.\n", "\n", "In `MATLAB`, our code looks as follows:\n", "\n", " ```\n", " load input_image.mat;\n", " total = sum(data(:) > 0)\n", " ```\n", " \n", "The following example uses ``scipy.io.savemat`` to convert the input image to `MATLAB` format. Once the file is loaded we can quickly extract the estimated total volume.\n", "\n", "***Note:*** For the purpose of this example, we will be using the freely available `MATLAB` alternative `Octave`. But the implementation of a `MATLAB` interface will be identical." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Preparation\n", "\n", "As before, we need to specify an `InputSpec` and an `OutputSpec` class. The input class will expect a `file` as an input and the `script` containing the code that we would like to run, and the output class will give us back the total `volume`.\n", "\n", "In the context of a `MATLAB` interface, this is implemented as follows:" ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [], "source": [ "from nipype.interfaces.base import (CommandLine, traits, TraitedSpec,\n", " BaseInterface, BaseInterfaceInputSpec, File)\n", "\n", "class BrainVolumeMATLABInputSpec(BaseInterfaceInputSpec):\n", " in_file = File(exists=True, mandatory=True)\n", " script_file = File(exists=True, mandatory=True)\n", " \n", "class BrainVolumeMATLABOutputSpec(TraitedSpec):\n", " volume = traits.Int(desc='brain volume')\n", "\n", "class BrainVolumeMATLAB(BaseInterface):\n", " input_spec = BrainVolumeMATLABInputSpec\n", " output_spec = BrainVolumeMATLABOutputSpec" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step by step implementation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, we have to specify what should happen, once the interface is run. As we said earlier, we want to:\n", "\n", "1. load the image data and save it in a mat file\n", "2. load the script\n", "3. replace the put the relevant information into the script\n", "4. run the script\n", "5. extract the results\n", "\n", "This all can be implemented with the following code:" ] }, { "cell_type": "code", "execution_count": 51, "metadata": {}, "outputs": [], "source": [ "# Specify the interface inputs\n", "in_file = '/data/ds000114/sub-01/ses-test/anat/sub-01_ses-test_T1w.nii.gz'\n", "script_file = '/home/neuro/workshop/nipype_tutorial/notebooks/scripts/brainvolume.m'" ] }, { "cell_type": "code", "execution_count": 52, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "load input_image.mat;\r\n", "total = sum(data(:) > 0)" ] } ], "source": [ "!cat scripts/brainvolume.m" ] }, { "cell_type": "code", "execution_count": 53, "metadata": {}, "outputs": [], "source": [ "import re\n", "import nibabel as nb\n", "from scipy.io import savemat\n", "\n", "# 1. save the image in matlab format as tmp_image.mat\n", "tmp_image = 'tmp_image.mat'\n", "data = nb.load(in_file).get_fdata()\n", "savemat(tmp_image, {b'data': data}, do_compression=False)" ] }, { "cell_type": "code", "execution_count": 54, "metadata": {}, "outputs": [], "source": [ "# 2. load script\n", "with open(script_file) as script_file:\n", " script_content = script_file.read()" ] }, { "cell_type": "code", "execution_count": 55, "metadata": {}, "outputs": [], "source": [ "# 3. replace the input_image.mat file with the actual input of this interface\n", "with open('newscript.m', 'w') as script_file:\n", " script_file.write(script_content.replace('input_image.mat', 'tmp_image.mat'))" ] }, { "cell_type": "code", "execution_count": 56, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "211017-16:37:01,228 nipype.interface INFO:\n", "\t stderr 2021-10-17T16:37:01.227641:octave: X11 DISPLAY environment variable not set\n", "211017-16:37:01,232 nipype.interface INFO:\n", "\t stderr 2021-10-17T16:37:01.227641:octave: disabling GUI features\n", "211017-16:37:02,385 nipype.interface INFO:\n", "\t stdout 2021-10-17T16:37:02.385092:total = 5308353\n" ] } ], "source": [ "# 4. run the matlab script\n", "mlab = CommandLine('octave', args='newscript.m', terminal_output='stream')\n", "result = mlab.run()" ] }, { "cell_type": "code", "execution_count": 57, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "5308353\n" ] } ], "source": [ "# 5. extract the volume estimation from the output\n", "expr_tra = re.compile('total\\ =\\s+(?P[0-9]+)')\n", "volume = int(expr_tra.search(result.runtime.stdout).groupdict()['total'])\n", "print(volume)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Putting it all together\n", "\n", "Now we just need to put this all together in the `_run_interface()` method and add a `_list_outputs()` function:" ] }, { "cell_type": "code", "execution_count": 58, "metadata": {}, "outputs": [], "source": [ "from nipype.interfaces.base import (CommandLine, traits, TraitedSpec,\n", " BaseInterface, BaseInterfaceInputSpec, File)\n", "import re\n", "import nibabel as nb\n", "from scipy.io import savemat\n", "\n", "class BrainVolumeMATLABInputSpec(BaseInterfaceInputSpec):\n", " in_file = File(exists=True, mandatory=True)\n", " script_file = File(exists=True, mandatory=True)\n", " \n", "class BrainVolumeMATLABOutputSpec(TraitedSpec):\n", " volume = traits.Int(desc='brain volume')\n", "\n", "class BrainVolumeMATLAB(BaseInterface):\n", " input_spec = BrainVolumeMATLABInputSpec\n", " output_spec = BrainVolumeMATLABOutputSpec\n", "\n", " def _run_interface(self, runtime): \n", " # Save the image in matlab format as tmp_image.mat\n", " tmp_image = 'tmp_image.mat'\n", " data = nb.load(self.inputs.in_file).get_fdata()\n", " savemat(tmp_image, {b'data': data}, do_compression=False)\n", " \n", " # Load script\n", " with open(self.inputs.script_file) as script_file:\n", " script_content = script_file.read()\n", " \n", " # Replace the input_image.mat file for the actual input of this interface\n", " with open('newscript.m', 'w') as script_file:\n", " script_file.write(script_content.replace('input_image.mat', 'tmp_image.mat'))\n", "\n", " # Run a matlab command\n", " mlab = CommandLine('octave', args='newscript.m', terminal_output='stream')\n", " result = mlab.run()\n", " \n", " expr_tra = re.compile('total\\ =\\s+(?P[0-9]+)')\n", " volume = int(expr_tra.search(result.runtime.stdout).groupdict()['total'])\n", " setattr(self, '_result', volume)\n", " return result.runtime\n", "\n", " def _list_outputs(self):\n", " outputs = self._outputs().get()\n", " outputs['volume'] = getattr(self, '_result')\n", " return outputs" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's test it:" ] }, { "cell_type": "code", "execution_count": 59, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "211017-16:37:03,650 nipype.interface INFO:\n", "\t stderr 2021-10-17T16:37:03.650423:octave: X11 DISPLAY environment variable not set\n", "211017-16:37:03,654 nipype.interface INFO:\n", "\t stderr 2021-10-17T16:37:03.650423:octave: disabling GUI features\n", "211017-16:37:04,478 nipype.interface INFO:\n", "\t stdout 2021-10-17T16:37:04.478099:total = 5308353\n" ] } ], "source": [ "matlab = BrainVolumeMATLAB(in_file='/data/ds000114/sub-01/ses-test/anat/sub-01_ses-test_T1w.nii.gz',\n", " script_file='/home/neuro/workshop/nipype_tutorial/notebooks/scripts/brainvolume.m')\n", "result = matlab.run()" ] }, { "cell_type": "code", "execution_count": 60, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "volume = 5308353\n", "\n" ] } ], "source": [ "print(result.outputs)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We see in the example above that everything works fine. But now, let's say that we want to save the total brain volume to a file and give the location of this file back as an output. How would you do that?" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "## Exercise\n", "\n", "Modify the `BrainVolumeMATLAB` interface so that it has one more **output** called ``out_file``, that points to a text file where we write the volume in voxels. The name of the ``out_file`` can be hard coded to ``volume.txt``." ] }, { "cell_type": "code", "execution_count": 61, "metadata": { "solution2": "shown", "solution2_first": true }, "outputs": [], "source": [ "# Write your solution here" ] }, { "cell_type": "code", "execution_count": 62, "metadata": { "solution2": "shown" }, "outputs": [], "source": [ "from nipype.interfaces.base import (CommandLine, traits, TraitedSpec,\n", " BaseInterface, BaseInterfaceInputSpec, File)\n", "import os\n", "import re\n", "import nibabel as nb\n", "from scipy.io import savemat\n", "\n", "class BrainVolumeMATLABInputSpec(BaseInterfaceInputSpec):\n", " in_file = File(exists=True, mandatory=True)\n", " script_file = File(exists=True, mandatory=True)\n", " \n", "class BrainVolumeMATLABOutputSpec(TraitedSpec):\n", " volume = traits.Int(desc='brain volume')\n", " out_file = File(desc='output file containing total brain volume') # This line was added\n", "\n", "class BrainVolumeMATLAB(BaseInterface):\n", " input_spec = BrainVolumeMATLABInputSpec\n", " output_spec = BrainVolumeMATLABOutputSpec\n", "\n", " def _run_interface(self, runtime): \n", " # Save the image in matlab format as tmp_image.mat\n", " tmp_image = 'tmp_image.mat'\n", " data = nb.load(self.inputs.in_file).get_fdata()\n", " savemat(tmp_image, {b'data': data}, do_compression=False)\n", " \n", " # Load script\n", " with open(self.inputs.script_file) as script_file:\n", " script_content = script_file.read()\n", " \n", " # Replace the input_image.mat file for the actual input of this interface\n", " with open('newscript.m', 'w') as script_file:\n", " script_file.write(script_content.replace('input_image.mat', 'tmp_image.mat'))\n", "\n", " # Run a matlab command\n", " mlab = CommandLine('octave', args='newscript.m', terminal_output='stream')\n", " result = mlab.run()\n", " \n", " expr_tra = re.compile('total\\ =\\s+(?P[0-9]+)')\n", " volume = int(expr_tra.search(result.runtime.stdout).groupdict()['total'])\n", " setattr(self, '_result', volume)\n", " \n", " # Write total brain volume into a file\n", " out_fname = os.path.abspath('volume.txt')\n", " setattr(self, '_out_file', out_fname)\n", " with open('volume.txt', 'w') as out_file:\n", " out_file.write('%d' %volume)\n", " \n", " return result.runtime\n", "\n", " def _list_outputs(self):\n", " outputs = self._outputs().get()\n", " outputs['volume'] = getattr(self, '_result')\n", " outputs['out_file'] = getattr(self, '_out_file')\n", " return outputs" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, let's test if it works." ] }, { "cell_type": "code", "execution_count": 63, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "211017-16:37:05,660 nipype.interface INFO:\n", "\t stderr 2021-10-17T16:37:05.660099:octave: X11 DISPLAY environment variable not set\n", "211017-16:37:05,662 nipype.interface INFO:\n", "\t stderr 2021-10-17T16:37:05.660099:octave: disabling GUI features\n", "211017-16:37:06,286 nipype.interface INFO:\n", "\t stdout 2021-10-17T16:37:06.286014:total = 5308353\n" ] } ], "source": [ "matlab = BrainVolumeMATLAB(in_file='/data/ds000114/sub-01/ses-test/anat/sub-01_ses-test_T1w.nii.gz',\n", " script_file='/home/neuro/workshop/nipype_tutorial/notebooks/scripts/brainvolume.m')\n", "result = matlab.run()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "No errors, perfect. Did we get the right file?" ] }, { "cell_type": "code", "execution_count": 64, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/home/neuro/workshop_weizmann/workshop/nipype/notebooks/volume.txt\n" ] } ], "source": [ "print(result.outputs.out_file)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And what about the content of this file?" ] }, { "cell_type": "code", "execution_count": 65, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "5308353" ] } ], "source": [ "!cat volume.txt" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.7.8" } }, "nbformat": 4, "nbformat_minor": 2 }