Dicom to Bids conversion

DICOM
BIDS
MRI
Neurodesk
how to convert from dicom’s to bids
Author

AC

Published

August 12, 2024

Documentation

See also BIDS specificiation

  • Other programs that can be used to convert dicoms to BIDS

Going from DICOMS to BIDS datasets (with folder structure):

https://github.com/nipy/heudiconv https://github.com/cbedetti/Dcm2Bids https://github.com/jmtyszka/bidskit https://github.com/dangom/dac2bids

Going from DICOMS to NIFTI + BIDS JSON sidecar:

https://github.com/rordenlab/dcm2niix

matlab dicom to nifti tool converter

 

Dicoms

  • Dicoms are the raw files that are collected after an MRI session and are aren’t too useful to us because analyses use the .nifti format

  • The script aims to get the dicoms into BIDS format ready for fMRIprep

  • The script is intended to be a useful for those first starting an fMRI analysis

 

Script

  • I created a script found here that carries out the transformation from dicom to BIDS format

  • This is useful because often times we want to convert to BIDS and there are lots of different ways to do this (some more complicated than others)

  • Here I wanted the script to be as easy as possible for a number of reasons but primarily so that anyone can run it (even without using .json files)

 

How to use the script

  • The script will guide you through the process of converting from dicoms to BIDS

  • What’s important to know is that the script is not always accurate and will require some input to correct some things

 

1. Choose the name of the dicom folder in which to convert

 

2. Optional: If there are subdirectories in the dicom folder (e.g. ses-1 or ses-2) pick one

 

3. Get the name of BIDS subject

  • What is often the case for us is that the dicoms folder for each participant is named differently to how we want out subject/ BIDS name to be.

 

4. DICOM search. This will either use pydicom or dcmunpack

For some reason pydicom runs a lot faster!!! dcmunpack can take hours but using pydicom can be finished in a few minutes

  • Here the script roughly unpacks all the dicoms ready for the step which renames files and folders and puts the niftis in these new folders

 

5. Information about the renaming and BIDS conventions

pydicom and dcmunpack don’t get everything right 100% of the time and the folders/ names of the niftis might be incorrect. This is important as you might want to rename your dicom files into a new name that fits the BIDS format

The option to delete dicoms is also important, the anat-scout is not crucial for an analysis so theres no need to try to convert it to BIDS

 

6. Keep/ modify/ delete

Choose to keep the dicom and the name of the dicom, modify it or delete it (ie don’t convert)

Any action here will apply to the .nii.gz and the .json

  • If you want to modify the name of the BIDS file then choose modify and rename according to the BIDS naming convention

 

  • If you want to keep or modify the folder the BIDS file belong to then select either keep or modify

  • Here I want to keep the folder func because it is correct

  • Here I want to choose the folder extra (this is not a BIDS folder but I want to convert the dicom to a nifti, I’d remove this before fMRIprep)

  • Often times the anat folder name is wrong. Here the name should just be anat

 

7. Adding IntendedFor field to fmap json

  • The conversion does not always add the IntenderFor field to the .json in the fmap folder

  • For [distortion correction] to take place in fMRIprep it is necessary to add the IntendedFor field to the .json

  • The script uses jq to provide the insertion into the fmap .json file

  • The format that is added is not BIDS URI compliant but the script will output a text file that can be used to change the intendedfor field with BIDS uri compliant paths.

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