Closed diazandr3s closed 7 months ago
Data sources that I would recommend using (in this order):
Brats labels.csv files needs to be fixed up.
Currently, the type
is repeated 3 times, while the first code is the category (usually Anatomical structure or Morphologically altered structure), then type (trachea, hemorrhage, ...), then if it is a morphologically altered structure and we know where it is then we can specify the anatomical region (e.g., cerebellum).
For example, correct labels.csv for Brats-GLI:
LabelValue,Name,SegmentedPropertyCategoryCodeSequence.CodingSchemeDesignator,SegmentedPropertyCategoryCodeSequence.CodeValue,SegmentedPropertyCategoryCodeSequence.CodeMeaning,SegmentedPropertyTypeCodeSequence.CodingSchemeDesignator,SegmentedPropertyTypeCodeSequence.CodeValue,SegmentedPropertyTypeCodeSequence.CodeMeaning,SegmentedPropertyTypeModifierCodeSequence.CodingSchemeDesignator,SegmentedPropertyTypeModifierCodeSequence.CodeValue,SegmentedPropertyTypeModifierCodeSequence.CodeMeaning,AnatomicRegionSequence.CodingSchemeDesignator,AnatomicRegionSequence.CodeValue,AnatomicRegionSequence.CodeMeaning,AnatomicRegionModifierSequence.CodingSchemeDesignator,AnatomicRegionModifierSequence.CodeValue,AnatomicRegionModifierSequence.CodeMeaning
3,Neoplasm,SCT,49755003,Morphologically Altered Structure,SCT,86049000,"Neoplasm, Primary",,,,SCT,12738006,Brain,,,
2,Edema,SCT,49755003,Morphologically Altered Structure,SCT,79654002,Edema,,,,SCT,12738006,Brain,,,
1,Necrosis,SCT,49755003,Morphologically Altered Structure,SCT,6574001,Necrosis,,,,SCT,12738006,Brain,,,
Data sources that I would recommend using (in this order):
* [SegmentationCategoryTypeModifier-DICOM](https://github.com/Slicer/Slicer/blob/main/Modules/Loadable/Terminologies/Resources/SegmentationCategoryTypeModifier-DICOM-Master.json): this was developed by the QIICR project and contributed to Slicer. You can look up terms in the file, but it may be easier to use the terminology selector in Slicer, i.e., create a segmentation, select the segment, double-click the colored rectangle, and type the term (and if needed select modifier). When you save the segmentation the terminology codes will be saved in the nrrd header that you need to reformat to csv manually, but we should implement a converter to .csv to make this easier. * [DICOM controlled terminology definitions](https://dicom.nema.org/medical/dicom/current/output/chtml/part16/chapter_d.html) * For any structures that cannot be find here or if there are any questions or ambiguities: contact David Clunie for advice
More information about this issue is here: https://discourse.slicer.org/t/new-extension-monai-auto3dseg-raise-the-bar-in-ai-medical-image-segmentation/35680/25?u=diazandr3s
Is there an easy and systematic way of obtaining the DICOM category, modifier, designator, etc
of the following anatomical brain regions/segments?
Thanks in advance!