Comments (3)
Could you write out a bit of what you are referring to? I understand the idea of non unique series numbers, but not what you mean by interleaving.
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Data deleted in initial trial of Vital dataset, including Series Instance UID (0020,000e), caused DICOM viewers to mix series with the same Series Number (0020,0011). A proposed solution was to clean Series Instance UID (0020,000e) instead of deleting.
Proposed change needs verification.
Clean per DICOM sup 142: replace with values of similar meaning known not to contain 226 identifying information and consistent with the VR.
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Ah, yes! Thank you for the clarification. I do remember @susanweber mentioned this, and we should be able to implement easily for the next refactor of the DASHER endpoint.
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Related Issues (20)
- Really heavy package HOT 1
- US data corrupted by pixel anonymization HOT 15
- get skull pixel data HOT 12
- Specify more than one coordinates in the filter HOT 37
- Error on get_files import HOT 4
- ImportError: cannot import name 'clean_pixel_data' from 'deid.dicom.pixels' HOT 9
- Minimum Required Versions - Python >=3.7; Numpy >= 1.20 HOT 10
- Update documentation with correct package name ("deid-data" -> "deid") HOT 2
- Add pre-commit for linting HOT 1
- Photometric Interpretation of the dataset is YBG_FULL_422 [...] You may need to change the Photometric Interpretation to the correct value HOT 14
- BLANK Action only applicable to US and SS VRs HOT 3
- Tags within sequences (nested fields) are not affected by header actions HOT 2
- REPLACE action fails on numeric VR HOT 1
- Documentation Issue - Recipe Headers HOT 2
- Circular import for config HOT 3
- Possible incorrect coordinate definition HOT 5
- Anonymise DICOM pixel data using OCR HOT 8
- How to specify Private tags in the recipes HOT 6
- Deidentification Exception in Filters
- DEID dropping UIDs HOT 11
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