questions > dcm2niix to create 4D data based on single slice DICOMs
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Mar 28, 2023 02:03 PM | mrschipper
dcm2niix to create 4D data based on single slice DICOMs
Dear expert,
DICOMs of our 4D functional MRI scans are mostly stored as single slice DICOM files. When using these single slice DICOM files as input for dcm2niix, I get NIFTIs of each dynamic seperately. However, for processing purposes, I would like to get a 4D NIFTI with all dynamics. Adding option -m seems to do the trick:
dcm2niix -o outputfolder -m y inputfolder
However, I'm wondering if this is the best approach, since this function seems to force a merge and the merge is meant for 2D slices (and not necessarily 3D data; based on the description of the -m option)
Kind regards and thank you in advance for the assistance,
Manon
DICOMs of our 4D functional MRI scans are mostly stored as single slice DICOM files. When using these single slice DICOM files as input for dcm2niix, I get NIFTIs of each dynamic seperately. However, for processing purposes, I would like to get a 4D NIFTI with all dynamics. Adding option -m seems to do the trick:
dcm2niix -o outputfolder -m y inputfolder
However, I'm wondering if this is the best approach, since this function seems to force a merge and the merge is meant for 2D slices (and not necessarily 3D data; based on the description of the -m option)
Kind regards and thank you in advance for the assistance,
Manon
Mar 28, 2023 02:03 PM | Chris Rorden
RE: dcm2niix to create 4D data based on single slice DICOMs
This question is underspecified. It soulds like you have enhanced
DICOM data, which suggests you have a Canon, Philips or Siemens XA
scanner - so the question is which one? My first guess is this is a
system running the emergent Siemens XA, and you will need to get
the development build of dcm2niix to support the new features. You
can get it by going here
https://ci.appveyor.com/project/neurolabusc/dcm2niix
selecting your operating system (windows, Linux or MacOS) and downloading the artifact. This new development version will being report v1.0.20230320
Alternatively, you can run fslmerge.
https://ci.appveyor.com/project/neurolabusc/dcm2niix
selecting your operating system (windows, Linux or MacOS) and downloading the artifact. This new development version will being report v1.0.20230320
Alternatively, you can run fslmerge.