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Differentiating between Raw/unprocessed scans and processed/derived scans #49
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Seems like ImageType Attribute can be used to differentiate between raw and derived data. Raw scans have the value For example,
It is interesting how MocoSeries is not annotated as DERIVED. But we can use the string 'MOCO' to detect it. Relevant Discussion: nipy/heudiconv#266 |
fantastic - great find. we can inject a filter for this. We need to have a modular and easy way to maintain various list of filters, based on various attributes (dicom tags, file names etc) some to be ignored (directly at the also, we need to document it well, which reminds me, we need a new page in mrQA docs explaining how users should read our report. For the most part our HTML report is very self explanatory, but some users need a bit more with navigation into the different sections, and their interpretation etc, and a list of what is being ignored while generating the report for the sake of completeness |
Be warned Siemens enhanced DICOMs only use specification defined values in the ImageType field (0008,0008). Therefore, I would expect terms like MOCO would appear in the ImageTypeText field (0021,1175). For this reason, data from a Siemens XA scanner will vary the verbosity of 0008,0008 when exporting to classic versus enhanced DICOM. For examples, see XA30 classic and enhanced images. I think |
thanks for the warnings and details Chris, appreciate it, although we didn't need even more complexity to worry about :). is the Enhanced DICOM the only format available from the XA30 versions going forward? what libraries do you recommend for reading Enhanced DICOMs? I hope the |
We are using ImageType Attribute to detect Moco series and derived sequences in dicom_utils |
we need a way to differentiate between raw (EPI) scans and processed data (Motion Corrected by Siemens)... another instance of raw vs. derived data is from ASL / perfusion weighted images also
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