questions > dcm2niix for Philips PAR/REC files
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Jan 26, 2015 03:01 PM | Nina Reislev - Danish Research Centre for Magnetic Resonance
dcm2niix for Philips PAR/REC files
Dear Chris Rorden,
We have installed the newest version of the conversion software dcm2nii - which is now called dcm2niix, right?
I would like to use it to convert Philips PAR/REC diffusion-weighted MRI files into nifti-files (Images and gradient directions, b-values).
When using dcm2niix with the input-directory specified with the PAR/REC files, I get the error: Unable to find any DICOM images.
It seems the software is unable to detect and convert PAR/REC files?
I use previous versions of dcm2nii with PAR/REC without problems.
Best Regards, Nina Reislev
We have installed the newest version of the conversion software dcm2nii - which is now called dcm2niix, right?
I would like to use it to convert Philips PAR/REC diffusion-weighted MRI files into nifti-files (Images and gradient directions, b-values).
When using dcm2niix with the input-directory specified with the PAR/REC files, I get the error: Unable to find any DICOM images.
It seems the software is unable to detect and convert PAR/REC files?
I use previous versions of dcm2nii with PAR/REC without problems.
Best Regards, Nina Reislev
Jan 26, 2015 08:01 PM | Chris Rorden
RE: dcm2niix for Philips PAR/REC files
Nina-
Yes, the latest version of my software is dcm2niix. You can always get the latest stable version by downloading MRIcroGL, or if you are feeling brave you can compile the latest beta release from Github (https://github.com/neurolabusc/dcm2niix).
The software will convert PAR/REC files just fine. You have three options (I tested this on OS X)
1.) With MRIcroGL, select Import/ConvertDicomToNifti, then drag and drop your PAR file onto the new dcm2nii window.
2.) With MRIcroGL, select Import/ConvertDicomToNifti. The dcm2nii window appears. This dcm2nii has an associated menu - select the menu item File/Par/RecToNifti - select the PAR file you wish to convert using the file selection dialog box.
3.) You can also call dcm2niix from the command line, for example "./dcm2niix ~/Desktop/a.PAR"
-chris
Yes, the latest version of my software is dcm2niix. You can always get the latest stable version by downloading MRIcroGL, or if you are feeling brave you can compile the latest beta release from Github (https://github.com/neurolabusc/dcm2niix).
The software will convert PAR/REC files just fine. You have three options (I tested this on OS X)
1.) With MRIcroGL, select Import/ConvertDicomToNifti, then drag and drop your PAR file onto the new dcm2nii window.
2.) With MRIcroGL, select Import/ConvertDicomToNifti. The dcm2nii window appears. This dcm2nii has an associated menu - select the menu item File/Par/RecToNifti - select the PAR file you wish to convert using the file selection dialog box.
3.) You can also call dcm2niix from the command line, for example "./dcm2niix ~/Desktop/a.PAR"
-chris
Jan 27, 2015 08:01 AM | Nina Reislev - Danish Research Centre for Magnetic Resonance
RE: dcm2niix for Philips PAR/REC files
Thank you, Chris, it works.
I was using the command line, only specifying the directory path or ".REC" - it works when specifying ".PAR" as you write.
For dicom files it suffice specifying the path.
Best Nina.
I was using the command line, only specifying the directory path or ".REC" - it works when specifying ".PAR" as you write.
For dicom files it suffice specifying the path.
Best Nina.
Jan 27, 2015 02:01 PM | Chris Rorden
RE: dcm2niix for Philips PAR/REC files
The next version will allow you to specify either the .PAR (header
data) or .REC (image data). As you note, for PAR/REC you specify
each file (since they explicitly code a complete volume) rather
than a folder (for DICOM a single volume typically spans multiple
files).
Dec 6, 2016 05:12 PM | Luigi Antelmi
RE: dcm2niix for Philips PAR/REC files
Dear Chris,
I've just cloned and compiled the source code from https://github.com/rordenlab/dcm2niix
When I try to convert a (T1 3D) PAR (or REC) file it says:
Chris Rorden's dcm2niiX version 25Nov2016 (64-bit Linux)
Done reading PAR header version 4.2, with 1 volumes
Error: unable to load t1.REC
Conversion required 0.027482 seconds.
with no other output. Any suggestion on how to make it work?
Thank you very much!
Luigi.
I've just cloned and compiled the source code from https://github.com/rordenlab/dcm2niix
When I try to convert a (T1 3D) PAR (or REC) file it says:
Chris Rorden's dcm2niiX version 25Nov2016 (64-bit Linux)
Done reading PAR header version 4.2, with 1 volumes
Error: unable to load t1.REC
Conversion required 0.027482 seconds.
with no other output. Any suggestion on how to make it work?
Thank you very much!
Luigi.
Dec 6, 2016 06:12 PM | Chris Rorden
RE: dcm2niix for Philips PAR/REC files
Luigi.
This problem was specific to yesterday's development source code. You can either get the latest version or you can get a pre-compiled version from NITRC.
This problem was specific to yesterday's development source code. You can either get the latest version or you can get a pre-compiled version from NITRC.
Sep 27, 2018 05:09 PM | Josh Robinson
RE: dcm2niix for Philips PAR/REC files
Hi Chris,
I am having trouble using dcm2niix from the command line and I was hoping you would be able to help. I am trying to convert diffusion weighted PAR/REC files to nifti. I supply the path directly to the .par file, however it returns the error "Error: output folder invalid: /path/to/par/file" when I do not have the -o option set. Alternatively, I give the path to the folder containing the par files, but it gives an error saying there are no dicom files in the specified folder. My (paraphrased) command is here:
/path/to/executable -f outname /path/to/par/file
When I use the GUI, it works just fine, but given the volume of data I need to convert, using the command line utility would be much more convenient, and given the simplicity of the command I don't see any error in my syntax. Would you have any ideas as to what may be going on here? Any guidance is greatly appreciated.
Thank you,
Josh Robinson
I am having trouble using dcm2niix from the command line and I was hoping you would be able to help. I am trying to convert diffusion weighted PAR/REC files to nifti. I supply the path directly to the .par file, however it returns the error "Error: output folder invalid: /path/to/par/file" when I do not have the -o option set. Alternatively, I give the path to the folder containing the par files, but it gives an error saying there are no dicom files in the specified folder. My (paraphrased) command is here:
/path/to/executable -f outname /path/to/par/file
When I use the GUI, it works just fine, but given the volume of data I need to convert, using the command line utility would be much more convenient, and given the simplicity of the command I don't see any error in my syntax. Would you have any ideas as to what may be going on here? Any guidance is greatly appreciated.
Thank you,
Josh Robinson
Sep 27, 2018 07:09 PM | Chris Rorden
RE: dcm2niix for Philips PAR/REC files
I can not replicate your issue. All of these commands work for me
./dcm2niix -f outname -o ~/tst/parx ~/tst/parx/b.PAR
./dcm2niix -o ~/tst/parx ~/tst/parx/
./dcm2niix ~/tst/parx/b.
./dcm2niix ~/tst/parx/
./dcm2niix -f outname -o ~/tst/parx ~/tst/parx/b.PAR
./dcm2niix -o ~/tst/parx ~/tst/parx/
./dcm2niix ~/tst/parx/b.
./dcm2niix ~/tst/parx/
- You may want to check that you are using a recent version, when I ran my copy I got Chris Rorden's dcm2niiX version v1.0.20180918 GCC6.1.0 (64-bit MacOS)
- If any of your paths have spaces in them, make sure to wrap the argument in quotes.
- Make sure you have the PAR and REC file in the same folder.
Nov 28, 2018 09:11 AM | josephine g
RE: dcm2niix for Philips PAR/REC files
Hi Chis,
I tried to use dcm2niix to convert PAR/REC images into nifti format, but can't seem to make it work.
Can you help me identify what I'm doing wrong?
command: dcm2niix $datadir/filename.PAR.gz -o $outdir
output:
Compression will be faster with 'pigz' installed
Chris Rorden's dcm2niiX version v1.0.20180622 GCC4.8.2 (64-bit Linux)
Error: Unable to find any DICOM images in /$datadir (or subfolders 5 deep)
The PAR and REC files are in the same folder.
Thanks!
Josephine
I tried to use dcm2niix to convert PAR/REC images into nifti format, but can't seem to make it work.
Can you help me identify what I'm doing wrong?
command: dcm2niix $datadir/filename.PAR.gz -o $outdir
output:
Compression will be faster with 'pigz' installed
Chris Rorden's dcm2niiX version v1.0.20180622 GCC4.8.2 (64-bit Linux)
Error: Unable to find any DICOM images in /$datadir (or subfolders 5 deep)
The PAR and REC files are in the same folder.
Thanks!
Josephine
Nov 28, 2018 11:11 AM | Chris Rorden
RE: dcm2niix for Philips PAR/REC files
Josephine -
The name of the file you want to convert is always the LAST parameter provided. The rationale for this is that it supports operating systems where you drag and drop the file you want to convert onto the application. Therefore, your command should be
dcm2niix -o $outdir $datadir/filename.PAR.gz
run dcm2niix with no parameters
dcm2niix
to get more help on proper usage. I would also recommend updating to the latest version.
-chrs
The name of the file you want to convert is always the LAST parameter provided. The rationale for this is that it supports operating systems where you drag and drop the file you want to convert onto the application. Therefore, your command should be
dcm2niix -o $outdir $datadir/filename.PAR.gz
run dcm2niix with no parameters
dcm2niix
to get more help on proper usage. I would also recommend updating to the latest version.
-chrs
Dec 3, 2018 01:12 PM | josephine g
RE: dcm2niix for Philips PAR/REC files
Hi Chris,
Thanks for your pointers. I upgraded to the newest dcm2niix version and changed the command, but got the same error that the package is unable to detect any images. However, it seemed to locate the PAR files after uncompressing them (filename.PAR.gz > filename.PAR).
However, it now returns a different error related to the number of slices:
path/to/new_version/dcm2niix -o /$outdir /$imgdir/filename.PAR
Compression will be faster with 'pigz' installed
Chris Rorden's dcm2niiX version v1.0.20181125 GCC4.8.2 (64-bit Linux)
Warning: dcm2niix PAR is not actively supported (hint: use dicm2nii)
Found 18950 slices, but expected divisible by 18962: slices*grad*bval*cardiac*echo*dynamic*mix*labels = 38*1*1*1*1*499*1*1
/$imgdir
Error: Total number of slices (18950) not divisible by slices per 3D volume (38) [acquisition aborted]. Try dicm2nii or R2AGUI:
/$imgdir
It also reported an error related to the number of dynamics, which was inconsistent with the header info. This warning disappeared after manually changing the header (PAR file).
Can you give any advise on how to deal with the error above?
Thanks!
Best,
Josephine
Thanks for your pointers. I upgraded to the newest dcm2niix version and changed the command, but got the same error that the package is unable to detect any images. However, it seemed to locate the PAR files after uncompressing them (filename.PAR.gz > filename.PAR).
However, it now returns a different error related to the number of slices:
path/to/new_version/dcm2niix -o /$outdir /$imgdir/filename.PAR
Compression will be faster with 'pigz' installed
Chris Rorden's dcm2niiX version v1.0.20181125 GCC4.8.2 (64-bit Linux)
Warning: dcm2niix PAR is not actively supported (hint: use dicm2nii)
Found 18950 slices, but expected divisible by 18962: slices*grad*bval*cardiac*echo*dynamic*mix*labels = 38*1*1*1*1*499*1*1
/$imgdir
Error: Total number of slices (18950) not divisible by slices per 3D volume (38) [acquisition aborted]. Try dicm2nii or R2AGUI:
/$imgdir
It also reported an error related to the number of dynamics, which was inconsistent with the header info. This warning disappeared after manually changing the header (PAR file).
Can you give any advise on how to deal with the error above?
Thanks!
Best,
Josephine
Dec 3, 2018 02:12 PM | Chris Rorden
RE: dcm2niix for Philips PAR/REC files
Looks like this was an incomplete acquisition, where the scanner
was interrupted in the middle of acquiring a volume. I would follow
the advice provided by dcm2niix and use dicm2nii.
Dec 3, 2018 04:12 PM | josephine g
RE: dcm2niix for Philips PAR/REC files
Thanks for your fast reply. This was a complete acquisition and the
problem occurs with other subjects as well, which makes me believe
there is an issue with inconsistent header info. I will try
dicm2nii.
Thanks!
Thanks!
Jan 3, 2020 04:01 PM | Shilpi Modi - Thomas Jefferson University
RE: dcm2niix for Philips PAR/REC files
Originally posted by Chris Rorden:
When trying to convert Philips PAR REC files to nii using MRIcoGL I an getting the following warning:
Compression will be faster with pigz.exe in the same folder as the executable
Chris Rorden's dcm2niiX version v1.0.20190902 (JP2:OpenJPEG) (JP-LS:CharLS) MSC1900 (64-bit Windows)
Warning: dcm2niix PAR is not actively supported (hint: use dicm2nii)
Warning: Distance between slices reported by slice gap+thick does not match estimate from slice positions (issue 273).
Done reading PAR header version 4.2, with 4950 slices
Philips Scaling Values RS:RI:SS = 1.64078:0:0.00206002 (see PMC3998685)
Can this warning be override?
Regards,
Shilpi
Nina-
Yes, the latest version of my software is dcm2niix. You can always get the latest stable version by downloading MRIcroGL, or if you are feeling brave you can compile the latest beta release from Github (https://github.com/neurolabusc/dcm2niix).
The software will convert PAR/REC files just fine. You have three options (I tested this on OS X)
1.) With MRIcroGL, select Import/ConvertDicomToNifti, then drag and drop your PAR file onto the new dcm2nii window.
2.) With MRIcroGL, select Import/ConvertDicomToNifti. The dcm2nii window appears. This dcm2nii has an associated menu - select the menu item File/Par/RecToNifti - select the PAR file you wish to convert using the file selection dialog box.
3.) You can also call dcm2niix from the command line, for example "./dcm2niix ~/Desktop/a.PAR"
-chris
hi,Yes, the latest version of my software is dcm2niix. You can always get the latest stable version by downloading MRIcroGL, or if you are feeling brave you can compile the latest beta release from Github (https://github.com/neurolabusc/dcm2niix).
The software will convert PAR/REC files just fine. You have three options (I tested this on OS X)
1.) With MRIcroGL, select Import/ConvertDicomToNifti, then drag and drop your PAR file onto the new dcm2nii window.
2.) With MRIcroGL, select Import/ConvertDicomToNifti. The dcm2nii window appears. This dcm2nii has an associated menu - select the menu item File/Par/RecToNifti - select the PAR file you wish to convert using the file selection dialog box.
3.) You can also call dcm2niix from the command line, for example "./dcm2niix ~/Desktop/a.PAR"
-chris
When trying to convert Philips PAR REC files to nii using MRIcoGL I an getting the following warning:
Compression will be faster with pigz.exe in the same folder as the executable
Chris Rorden's dcm2niiX version v1.0.20190902 (JP2:OpenJPEG) (JP-LS:CharLS) MSC1900 (64-bit Windows)
Warning: dcm2niix PAR is not actively supported (hint: use dicm2nii)
Warning: Distance between slices reported by slice gap+thick does not match estimate from slice positions (issue 273).
Done reading PAR header version 4.2, with 4950 slices
Philips Scaling Values RS:RI:SS = 1.64078:0:0.00206002 (see PMC3998685)
Can this warning be override?
Regards,
Shilpi
Jan 3, 2020 05:01 PM | Chris Rorden
RE: dcm2niix for Philips PAR/REC files
You can not override these warnings. Depending on your data, you
might be able to ignore these warnings. See issue 273. In general, I would strongly discourage using PAR/REC and export
to DICOM. If you have issues, you may want to look at these pages:
https://github.com/xiangruili/dicm2nii
https://github.com/nipy/nibabel/blob/master/nibabel/cmdline/parrec2nii.py
https://github.com/rordenlab/dcm2niix/tree/master/PARREC
I do not have access to Philips hardware, so please validate carefully. I have not touched that code in a while, and it is an undocumented Philips research format that they have historically modified at will. My software does patch several known bugs from prior Philips releases, but these kludges may have unintended consequences.
https://github.com/xiangruili/dicm2nii
https://github.com/nipy/nibabel/blob/master/nibabel/cmdline/parrec2nii.py
https://github.com/rordenlab/dcm2niix/tree/master/PARREC
I do not have access to Philips hardware, so please validate carefully. I have not touched that code in a while, and it is an undocumented Philips research format that they have historically modified at will. My software does patch several known bugs from prior Philips releases, but these kludges may have unintended consequences.
Jan 9, 2020 08:01 PM | Shilpi Modi - Thomas Jefferson University
RE: dcm2niix for Philips PAR/REC files
Thank you so much for your guidance.
Regards,
Shilpi
Regards,
Shilpi
Aug 26, 2021 05:08 PM | Rubina Chandnani - University of Stuttgart
RE: dcm2niix for Philips PAR/REC files
Hi Chris,
I'm faced with a similar issue.
I downloaded dcm2niix on Ubuntu 20.04 but when I type this command I get this error. Please see below:
dcm2niix -o /mnt/c/Users/rubin/BIDS/sub-R0120062/func -z y /mnt/c/Users/rubin/Documents 2021/Germany/fMRI data/Motor imagery dataset/DICOM/Files/R0120062/source data/func.PAR
Compression will be faster with 'pigz' installed
Chris Rorden's dcm2niiX version v1.0.20181125 (JP2:OpenJPEG) GCC9.3.0 (64-bit Linux)
Warning: only processing last of 6 input files (recompile with 'myEnableMultipleInputs' to recursively process multiple files)
Error: Unable to find any DICOM images in data/func.PAR (or subfolders 5 deep)
I would be so grateful if you could point out what I am doing wrong here or what I need to modify in the command line.
Many thanks for your time in helping me out.
Best,
Rubina
I'm faced with a similar issue.
I downloaded dcm2niix on Ubuntu 20.04 but when I type this command I get this error. Please see below:
dcm2niix -o /mnt/c/Users/rubin/BIDS/sub-R0120062/func -z y /mnt/c/Users/rubin/Documents 2021/Germany/fMRI data/Motor imagery dataset/DICOM/Files/R0120062/source data/func.PAR
Compression will be faster with 'pigz' installed
Chris Rorden's dcm2niiX version v1.0.20181125 (JP2:OpenJPEG) GCC9.3.0 (64-bit Linux)
Warning: only processing last of 6 input files (recompile with 'myEnableMultipleInputs' to recursively process multiple files)
Error: Unable to find any DICOM images in data/func.PAR (or subfolders 5 deep)
I would be so grateful if you could point out what I am doing wrong here or what I need to modify in the command line.
Many thanks for your time in helping me out.
Best,
Rubina
Aug 26, 2021 06:08 PM | Chris Rorden
RE: dcm2niix for Philips PAR/REC files
You are using a version from 2018. My first suggestion is to try
the latest stable release (v1.0.20210317)
https://github.com/rordenlab/dcm2niix/releases
https://github.com/rordenlab/dcm2niix/releases
Aug 26, 2021 08:08 PM | Rubina Chandnani - University of Stuttgart
RE: dcm2niix for Philips PAR/REC files
Thank you for your quick reply and for telling me to update to the
latest version.
I have downloaded and unzipped the file dcm2niix_lnx.zip but I don't know how to update to the latest version on Ubuntu 20.04.
Can you please tell me how to do this?
Thank you,
Rubina
I have downloaded and unzipped the file dcm2niix_lnx.zip but I don't know how to update to the latest version on Ubuntu 20.04.
Can you please tell me how to do this?
Thank you,
Rubina
Aug 27, 2021 04:08 PM | Rubina Chandnani - University of Stuttgart
RE: dcm2niix for Philips PAR/REC files
Hi again,
I tried the code again but this time in Anaconda Prompt with the updated version and still get the same error message:
(base) C:\Users\rubin>dcm2niix C:\Users\rubin\BIDS\sub-R0120062\func C:\Users\rubin\Documents 2021\Germany\fMRI data\Motor imagery dataset\DICOM\Files\R0120062\source data\func.PAR
Compression will be faster with pigz.exe in the same folder as the executable
Chris Rorden's dcm2niiX version v1.0.20210317 MSC1916 (64-bit Windows)
Warning: only processing last of 7 input files (recompile with 'myEnableMultipleInputs' to recursively process multiple files)
Error: Input folder invalid: data\func.PAR
I would be so grateful if you could point out what I need to fix here.
Many thanks,
Rubina
I tried the code again but this time in Anaconda Prompt with the updated version and still get the same error message:
(base) C:\Users\rubin>dcm2niix C:\Users\rubin\BIDS\sub-R0120062\func C:\Users\rubin\Documents 2021\Germany\fMRI data\Motor imagery dataset\DICOM\Files\R0120062\source data\func.PAR
Compression will be faster with pigz.exe in the same folder as the executable
Chris Rorden's dcm2niiX version v1.0.20210317 MSC1916 (64-bit Windows)
Warning: only processing last of 7 input files (recompile with 'myEnableMultipleInputs' to recursively process multiple files)
Error: Input folder invalid: data\func.PAR
I would be so grateful if you could point out what I need to fix here.
Many thanks,
Rubina
Aug 27, 2021 06:08 PM | Chris Rorden
RE: dcm2niix for Philips PAR/REC files
I notice there are spaces in your file path. When this occurs, you
will want to use quotes for terminal programs so that they are able
to detect that you are not providing multiple arguments:
C:\Users\rubin>dcm2niix "C:\Users\rubin\BIDS\sub-R0120062\func C:\Users\rubin\Documents 2021\Germany\fMRI data\Motor imagery dataset\DICOM\Files\R0120062\source data\func.PAR"
You may want to consider the terrific FSL training course, which has a lot of details for experts and beginners alike:
http://fsl.fmrib.ox.ac.uk/fslcourse/
The preparatory material has a lot of details that can help you work with the command line
http://fsl.fmrib.ox.ac.uk/fslcourse/#Preparatory
(You can run FSL on a Windows computer with the Windows Subsystem for Linux).
Andrew Jahn has some great videos as well:
https://www.youtube.com/watch?v=9ionYVXU...
C:\Users\rubin>dcm2niix "C:\Users\rubin\BIDS\sub-R0120062\func C:\Users\rubin\Documents 2021\Germany\fMRI data\Motor imagery dataset\DICOM\Files\R0120062\source data\func.PAR"
You may want to consider the terrific FSL training course, which has a lot of details for experts and beginners alike:
http://fsl.fmrib.ox.ac.uk/fslcourse/
The preparatory material has a lot of details that can help you work with the command line
http://fsl.fmrib.ox.ac.uk/fslcourse/#Preparatory
(You can run FSL on a Windows computer with the Windows Subsystem for Linux).
Andrew Jahn has some great videos as well:
https://www.youtube.com/watch?v=9ionYVXU...
Dec 6, 2022 03:12 AM | ziqing zhao
RE: dcm2niix for Philips PAR/REC files
Dear Chris,
I use the MRIcron to convert the dicom files into NII. But after it arise the warning
'D:\Program Files\MRIcron\Resources\dcm2niix.exe -f "%f_%p_%t_%s" -p y -z y -o "H:\PHD\learning\research\dataset\EMBARC_task\reward_fmri_tp1_nii" "H:\PHD\learning\research\dataset\EMBARC_task\reward_fmri_tp1\CU0022CUMR1R1"
Compression will be faster with pigz.exe in the same folder as the executable
Chris Rorden's dcm2niiX version v1.0.20220720 (JP2:OpenJPEG) (JP-LS:CharLS) MSC1900 (64-bit Windows)'
No any process and outcome return
Can you provide any suggesstions?
Thanks
Alex
I use the MRIcron to convert the dicom files into NII. But after it arise the warning
'D:\Program Files\MRIcron\Resources\dcm2niix.exe -f "%f_%p_%t_%s" -p y -z y -o "H:\PHD\learning\research\dataset\EMBARC_task\reward_fmri_tp1_nii" "H:\PHD\learning\research\dataset\EMBARC_task\reward_fmri_tp1\CU0022CUMR1R1"
Compression will be faster with pigz.exe in the same folder as the executable
Chris Rorden's dcm2niiX version v1.0.20220720 (JP2:OpenJPEG) (JP-LS:CharLS) MSC1900 (64-bit Windows)'
No any process and outcome return
Can you provide any suggesstions?
Thanks
Alex
Dec 6, 2022 01:12 PM | Chris Rorden
RE: dcm2niix for Philips PAR/REC files
This is a duplicate of issue 650
https://github.com/rordenlab/dcm2niix/issues/650
You have three solutions:
1. This will be resolved with the next stable release. You can ignore in the meantime and have slightly slower performance.
2. You can compile the development branch from source.
3. You can use a different operating system (macOS, Linux).
https://github.com/rordenlab/dcm2niix/issues/650
You have three solutions:
1. This will be resolved with the next stable release. You can ignore in the meantime and have slightly slower performance.
2. You can compile the development branch from source.
3. You can use a different operating system (macOS, Linux).
Dec 6, 2022 02:12 PM | ziqing zhao
RE: dcm2niix for Philips PAR/REC files
About the second solution, how to compile the development brance
from source?
Dec 6, 2022 03:12 PM | Chris Rorden
RE: dcm2niix for Philips PAR/REC files
Assuming you have git and VisualStudio installed, you can compile
from the "Developer PowerShell for VS2022"
git clone --branch development https://github.com/rordenlab/dcm2niix.gi...
cd dcm2niix/console
.\windows.bat
git clone --branch development https://github.com/rordenlab/dcm2niix.gi...
cd dcm2niix/console
.\windows.bat