Project Awesome project awesome
♥

med2image

Python CLI tool for generating jpg or png images from DICOM or nifti files.

Package 205 stars GitHub

med2image 2.6.6

Quick Overview

  • Convert DICOM or NIfTI inputs to jpg or png outputs.

Overview

med2image is a simple Python3 utility that converts medical image formatted files (such as DICOM and NifTI) to more web friendly ones, such as png and jpg.

Currently, NIfTI and DICOM input formats are understood, while any graphical output type that is supported by matplotlib can be generated.

At present med2image does not convert DICOM to NifTI, but this is planned for a future release.

Dependencies

Make sure that the following dependencies are installed on your host system (or even better, a python3 virtual env):

  • pfmisc : (a general miscellaneous module for color support, etc)
  • nibabel : (to read NIfTI files)
  • pydicom : (to read DICOM files)
  • matplotlib : (to save data in various image formats)
  • pillow : (to save data in jpg format)

Assumptions

This document assumes UNIX conventions and a bash shell. The script should work fine under Windows, but we have not actively tested on that platform -- our dev envs are Linux Ubuntu and macOS.

Installation


Python module

One method of installing this script and all of its dependencies is by fetching it from PyPI <https://pypi.org/project/med2image/>_.

.. code:: bash

    pip3 install med2image

Should you get an error about python3-tk not installed, simply do (for example on Ubuntu):

.. code:: bash

    sudo apt-get update
    sudo apt-get install -y python3-tk

Docker container


We also offer a docker container of ``med2image`` as a ChRIS-conformant platform plugin here https://github.com/FNNDSC/pl-med2img (see also the closely related https://github.com/FNNDSC/pl-dcm2img that performs conversions down a directory tree recursively) -- please that reference for information on running the dockerized container. The containerized version exposes a similar CLI and functionality as this module.

How to Use
----------

``med2image`` needs at a minimum (some of) the following required command line arguments:

- ``-i | --inputFile <inputFile>`` : Input file to convert. Typically a ``DICOM`` file or a ``NifTI`` volume.

- ``--inputFileSubStr <substr>`` : A short hand trick to specify the ``inputFile``. By only specifying a sub string that identifies the file, the first file in the ``inputDir`` that contains the sub string is tagged as the ``inputFile``. This saves a user from needing to specify long and cumbersome file names, esp in the case of many DICOM filenames.

- ``-d | --outputDir <outputDir> :`` The directory to contain the converted output image files.

**Example:**

.. code:: bash

    # Convert a NifTI file 'vol.nii' to JPEG and store
    # the results in a dirctory called 'out'.
    # The 'out' dir will contain a set of JPEG
    # images of form 'output-sliceXXX.jpg'.

    med2image -i vol.nii -d out

.. code:: bash

    # Convert a DICOM file 'file.dcm' to JPEG and store
    # the results in a dirctory called 'out'.
    # The 'out' dir will contain a set of JPEG
    # images of form 'output-sliceXXX.jpg'.

    # NOTE! If the directory containing 'file.dcm' contains
    # multiple DICOM files, *ALL* of these will be converted
    # to JPEG. See later for only converting a *single*
    # DICOM file.

    med2image -i file.dcm -d out

``NIfTI`` details
-----------------

**NOTE:** ``NifTI`` is typically a *volume* format. One ``NIfTI`` (``.nii``) volume contains multiple *slices*. Converting a ``NifTI`` volume results in multiple ``.jpg`` or ``.png`` results.

- ``NIfTI`` input data can be in 2 forms:

  - 3D : The ``.nii`` volume contains multiple 2D slices

  - 4D : The ``.nii`` file contains multiple 3D volumes that each contain multiple 2D slices

- ``med2image`` understands both types of inputs.

Pull ``NIfTI``
~~~~~~~~~~~~~~

The input should be a ``NIfTI`` volume with extension ``.nii``. We provide a sample volume here https://github.com/FNNDSC/SAG-anon-nii.git

- Clone this repository (``SAG-anon-nii``) to your local computer.

.. code:: bash

    git clone https://github.com/FNNDSC/SAG-anon-nii.git

Convert ``NIfTI``

NOTE:

  • If --outputDir | -d is not provided, outputs are created in the current directory.

  • if --sliceToConvert is not provided, all the slices of the .nii volume are converted.

Both 3D and 4D NIfTI input data are understood. In the case of 4D NIfTI, a specific frame (--frameToConvert) can be additionally provided in conjunction with a specific slice index. Conversion options include:

  • all slices (default)
  • middle slice only, with the CLI --sliceToConvert m
  • someSpecificSlice, with the CLI --sliceToConvert <N>

CASE 1: All slices in a volume ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Now, let's convert all slices in the input NIfTI volume SAG-anon.nii, and save the results to a nested subdir nifti-results/all-slices. We'll use as output file name stem sample and convert to jpg.

Assuming you have cloned the SAG-anon-nii repo and assuming that you have med2image on your UNIX shell path,

.. code:: bash

med2image -i SAG-anon-nii/SAG-anon.nii                 \
          -d nifti-results/all-slices                  \
          -o sample.jpg -s -1

or equivalently and more verbosely,

.. code:: bash

med2image --inputFile SAG-anon-nii/SAG-anon.nii         \
          --outputDir nifti-results/all-slices          \
          --outputFileStem sample  --outputFileType jpg \
          --sliceToConvert -1

resulting in

::

nifti-results/all-slices/sample-slice000.jpg
nifti-results/all-slices/sample-slice001.jpg
nifti-results/all-slices/sample-slice002.jpg
nifti-results/all-slices/sample-slice003.jpg
...
nifti-results/all-slices/sample-slice188.jpg
nifti-results/all-slices/sample-slice189.jpg
nifti-results/all-slices/sample-slice190.jpg
nifti-results/all-slices/sample-slice191.jpg

Note that even if the nested output directory structure does not exist, med2image will create it for you.

Case 2: Convert only a single slice ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Often times, you might only want to convert the "middle" slice in a volume (for example to generate a representative thumbnail of the volume). To do this, simply specify an m to --sliceToConvert (or -s m):

.. code:: bash

med2image -i SAG-anon-nii/SAG-anon.nii    \
          -d nifti-results/middle-slice   \
          -o sample --outputFileType jpg  \
          --sliceToConvert m

resulting in

::

nifti-results/middle-slice/sample-slice096.jpg

Alternatively a specific slice index can be converted. Use

.. code:: bash

med2image -i SAG-anon-nii/SAG-anon.nii    \
          -d nifti-results/specific-slice \
          -o sample                       \
          --outputFileType jpg            \
          --sliceToConvert 20

to convert only the 20th slice of the volume.

resulting in

::

nifti-results/specific-slice/sample-slice020.jpg

DICOM

NOTE: One DICOM (.dcm) file typically corresponds to one .png or .jpg file (slice).

Pull DICOM


The input should be a ``DICOM`` file usually with extension ``.dcm``

We provide a sample directory of ``.dcm`` images here ``FNNDSC/SAG-anon``. (https://github.com/FNNDSC/SAG-anon.git)

- Clone this repository (``SAG-anon``) to your local computer.

.. code:: bash

    git clone https://github.com/FNNDSC/SAG-anon.git

Convert ``DICOM``

NOTE:

  • If --outputDir | -d is not provided, any output(s) are created in the current directory.
  • if --sliceToConvert argument is not specified and if mutiple dcm files are contained in the input directory with the DICOM input, then all the .dcm files are converted.
  • alternatively, specifying a --convertOnlySingleDICOM will only convert the DICOM file specified with the --inputFile flag.

Convert all DICOMS in a directory/series ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

To convert all the DICOM files in a directory, simply specify either --sliceToConvert -1 (or just leave out the argument/value pair completely):

.. code:: bash

med2image -i SAG-anon/0001-1.3.12.2.1107.5.2.19.45152.2013030808110258929186035.dcm   \
          -d dicom-results/all-slices      \
          -o sample                        \
          --outputFileType jpg             \
          --sliceToConvert -1

# OR equivalently

med2image -i SAG-anon/0001-1.3.12.2.1107.5.2.19.45152.2013030808110258929186035.dcm  \
          -d dicom-results/all-slices      \
          -o sample                        \
          --outputFileType jpg

resulting in

::

dicom-results/all-slices/sample-slice000.jpg
dicom-results/all-slices/sample-slice001.jpg
dicom-results/all-slices/sample-slice002.jpg
dicom-results/all-slices/sample-slice003.jpg
...
dicom-results/all-slices/sample-slice188.jpg
dicom-results/all-slices/sample-slice189.jpg
dicom-results/all-slices/sample-slice190.jpg
dicom-results/all-slices/sample-slice191.jpg

Convert a single DICOM file ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Mostly, you'll probably only want to convert the "middle" slice in a DICOM directory (for example to generate a representative thumbnail of the directory). To do this, simply specify a m to --sliceToConvert (or -s m)

.. code:: bash

med2image -i SAG-anon/0001-1.3.12.2.1107.5.2.19.45152.2013030808110258929186035.dcm    \
          -d dicom-results/middle-slice  \
          -o sample --outputFileType jpg \
          --sliceToConvert m

resulting in

::

dicom-results/middle-slice/sample.jpg

Note that even though the first slice in the SAG-anon directory was supplied to the script, med2image nonetheless found and converted the middle slice in the directory.

Alternatively a specific slice index can be converted. Use

.. code:: bash

med2image -i SAG-anon/0001-1.3.12.2.1107.5.2.19.45152.2013030808110258929186035.dcm     \
          -d dicom-results/specific-slice  \
          -o sample --outputFileType jpg   \
          --sliceToConvert 20

resulting in

::

dicom-results/specific-slice/sample.jpg

Again, even though the first slice was supplied to the script, med2image selected and converted the 20th slice in the directory.

Special Cases ^^^^^^^^^^^^^

For DICOM data, the <outputFileStem> can optionally be set to the value of an internal DICOM tag. The tag is specified by preceding the tag name with a percent character %, so

  • -o %PatientID

will use the DICOM PatientID to name the output file. Note that special characters (like spaces) in the DICOM value are replaced by underscores '_'.

.. code:: bash

med2image -i SAG-anon/0001-1.3.12.2.1107.5.2.19.45152.2013030808110258929186035.dcm   \
          -d dicom-results/tags         \
          -o %PatientID.jpg -s m

This will create the following file in the tags sub-directory within dicom-results directory.

.. code:: bash

dicom-results/tags/1449c1d.jpg

Multiple tags can be specified, for example

  • -o %PatientName%PatientID%ProtocolName

and the output filename will have each DICOM tag string as specified in order, connected with dashes.

.. code:: bash

med2image -i SAG-anon/0001-1.3.12.2.1107.5.2.19.45152.2013030808110258929186035.dcm \
          -d dicom-results/tags                        \
          -o %PatientName%PatientID%ProtocolName.jpg   \
          -s m

This will create the following file in the tags sub-directory within dicom-results directory.

.. code:: bash

dicom-results/tags/anonymized-1449c1d-SAG_MPRAGE_220_FOV.jpg

Multiple Direction Reslicing

By default, only the slice (or slices) in the acquisition direction are converted. However, by passing a --reslice to the script, all dimensions are converted. Since the script does not know the anatomical orientation of the image, the directions are simply labeled x, y, and z.

The z direction is the original acquistion (slice) direction, while x and y correspond to planes normal to the row and column directions. Converted images are stored in subdirectories labeled x, y, and z.

No interpolation in the x and y directions is performed. This often results in ugly images!

NOTE: In case of DICOM images, the --reslice option will work only if all slices in the directory are converted, i.e. converting with --sliceToConvert -1

Special Operations

med2image also supports some very basic image processing through a --func <functionName> CLI, which applies some canned transformation on the image. Currently supported is

::

--func invertIntensities

which simply inverts the contrast intensity of the source image. Additional functions are planned for future releases.

Command Line Arguments

::

    [-i|--inputFile <inputFile>]
    Input file to convert. Typically a DICOM file or a nifti volume.

    [--inputFileSubStr <substr>]
    As a convenience, the input file can be determined via a substring
    search of all the files in the <inputDir> using this flag. The first
    filename hit that contains the <substr> will be assigned the
    <inputFile>.

    This flag is useful is input names are long and cumbersome, but
    a short substring search would identify the file. For example, an
    input file of

       0043-1.3.12.2.1107.5.2.19.45152.2013030808110149471485951.dcm

    can be specified using ``--inputFileSubStr 0043-``

    [-I|--inputDir <inputDir>]
    If specified, a directory containing the <inputFile>. In this case
    <inputFile> should be specified as relative to <inputDir>.

    [-d|--outputDir <outputDir>]
    The directory to contain the converted output image files.

    -o|--outputFileStem <outputFileStem>
    The output file stem to store conversion. If this is specified
    with an extension, this extension will be used to specify the
    output file type.

    SPECIAL CASES:
    For DICOM data, the <outputFileStem> can be set to the value of
    an internal DICOM tag. The tag is specified by preceding the tag
    name with a percent character '%', so

        -o %ProtocolName

    will use the DICOM 'ProtocolName' to name the output file. Note
    that special characters (like spaces) in the DICOM value are
    replaced by underscores '_'.

    Multiple tags can be specified, for example

        -o %PatientName%PatientID%ProtocolName

    and the output filename will have each DICOM tag string as
    specified in order, connected with dashes.

    [--convertOnlySingleDICOM]
    If specified, will only convert the single DICOM specified by the
    '--inputFile' flag. This is useful for the case when an input
    directory has many DICOMS but you specifially only want to convert
    the named file. By default the script assumes that multiple DICOMS
    should be converted en mass otherwise.

    [--preserveDICOMinputName]
    If specified, use the input DICOM name as the stem of the output
    filename, with the specified type ('jpg' or 'png') as the extension.
    In the case where [--reslice] is additionally specified, only the
    slice or 'z' direction will preserve original DICOM names.

    [-t|--outputFileType <outputFileType>]
    The output file type. If different to <outputFileStem> extension,
    will override extension in favour of <outputFileType>.

    [-s|--sliceToConvert <sliceToConvert>]
    In the case of volume files, the slice (z) index to convert. Ignored
    for 2D input data. If a '-1' is sent, then convert *all* the slices.
    If an 'm' is specified, only convert the middle slice in an input
    volume.

    [-f|--frameToConvert <sliceToConvert>]
    In the case of 4D volume files, the volume (V) containing the
    slice (z) index to convert. Ignored for 3D input data. If a '-1' is
    sent, then convert *all* the frames. If an 'm' is specified, only
    convert the middle frame in the 4D input stack.

    [--showSlices]
    If specified, render/show image slices as they are created.

    [--rot <3DbinVector>]
    A per dimension binary rotation vector. Useful to rotate individual
    dimensions by an angle specified with [--rotAngle <angle>]. Default
    is '110', i.e. rotate 'x' and 'y' but not 'z'. Note that for a
    non-reslice selection, only the 'z' (or third) element of the vector
    is used.

    [--rotAngle <angle>]
    Default 90 -- the rotation angle to apply to a given dimension of the
    <3DbinVector>.

    [--func <functionName>]
    Apply the specified transformation function before saving. Currently
    support functions:

        * invertIntensities
          Inverts the contrast intensity of the source image.

    [--reslice]
    For 3D data only. Assuming [x,y,z] coordinates, the default is to save
    along the 'z' direction. By passing a --reslice image data in the 'x'
    and 'y' directions are also saved. Furthermore, the <outputDir> is
    subdivided into 'slice' (z), 'row' (x), and 'col' (y) subdirectories.

    [-x|--man]
    Show full help.

    [-y|--synopsis]
    Show brief help.

    [--verbosity <level=1>]
    Control how chatty med2image is. Set to '0' for blissful silence, '1'
    for sane progress and '3' for full information.
Back to Neuroimaging