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XA30 myomaps BEATs triggers conversion warnings, unusable nifti #845
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You might want to see if the latest commits to the development branch help out a bit, as I recently included modifications to aid XA30 data saved as classic DICOMs. Regardless, I would suggest you have the data re-exported as enhanced DICOM, as the XA30 enhanced DICOMs include useful meta data, in particular for complex sequences like this. If these tips do not reoslve your issue, the only other solution would be for you to send a sample dataset to my institutional email. |
Thanks, I will build the latest and check if that helps. |
@bpinsard I do not have XA30, so I can not provide much feedback without seeing a dataset. As I recall, the XA30 does provide an option to use classic for some but not all images (as I recall, there is a n option for using enhanced just for the BOLD fMRI, but it does not generalize to other EPI sequences like DWI). |
build of development branch reduces the number of errors/warnings.
The resulting nifti is now usable and seems structured appropriately by InversionTime. |
One thing though: it only lists the first InversionTime in the sidecar. |
@bpinsard I can not really comment more without seeing sample images. You can observe a lot by running dcm2niix with logorrheic vebosity ( |
Describe the bug
I got in my hands XA30, Myomaps, BEATS_map (bunch of various naming), tfi2d1_109 data, apparently used for T1 mapping with the STAGE protocol on Siemens. Supposed to be cardiac imaging but used on brain (waiting on more info from the site).
dicoms are 5 slices x 10 InversionTimes
It stores 1 slice per dicom despite the ICE dims specifying 5: it triggers #742
It also triggers:
The resulting nifti is non-usable: while resulting in a [218, 256, 5, 10] nifti,
If I take only 5 dicoms with the same InversionTime, it generates a usable volume.
These are likely non-conform enhanced dicoms (at least for the ICE dims info).
v1.0.20240202
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