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For most users, a lot of the reference measurements (eg B1, B0) will have lower resolution than the actual images used for the module (eg MTw/PDw/T1w in MTsat).
It's quite inconvenient (I'm saying from experience) to need to do the resampling step to match the origin/resolution/FOV of the B1 to the MTsat measurements for example.
This is quite easy to do in python with NiLearn (resample_to_img), however I've had a fair bit of difficulty able to implement this using our native NIfTI tools in MATLAB. I think future versions of MATLAB have this feature embedded in the medical imaging toolbox (sine 2022b, https://www.mathworks.com/help/medical-imaging/ref/medicalvolume.resample.html), but then our GUI doesn't work for these newest versions.
Adding this feature would be quite helpful, so I think it's something we should strongly consider.
The text was updated successfully, but these errors were encountered:
For most users, a lot of the reference measurements (eg B1, B0) will have lower resolution than the actual images used for the module (eg MTw/PDw/T1w in MTsat).
It's quite inconvenient (I'm saying from experience) to need to do the resampling step to match the origin/resolution/FOV of the B1 to the MTsat measurements for example.
This is quite easy to do in python with NiLearn (
resample_to_img
), however I've had a fair bit of difficulty able to implement this using our native NIfTI tools in MATLAB. I think future versions of MATLAB have this feature embedded in the medical imaging toolbox (sine 2022b, https://www.mathworks.com/help/medical-imaging/ref/medicalvolume.resample.html), but then our GUI doesn't work for these newest versions.Adding this feature would be quite helpful, so I think it's something we should strongly consider.
The text was updated successfully, but these errors were encountered: