Comments (7)
Hi, @lmdulz. Thanks for your interest! I'm afraid my answer will not be super enlightening.
I was not aware of that table. Thanks for bringing it to my attention. I can see I'll have to take a gander and see how it can offer ideas for improving dicognito.
I mostly did two things:
- sat and thought about what tags could leak information, looking at some of the Information Module Definitions.
- looked at an internal tool my company had written that had some deficiencies, to make sure I at least didn't lose functionality relative it.
That's it! I'm sure dicognito is deficient in a few ways relative the standard(s).
I'm happy to talk more about this if you like.
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Hey, @blairconrad thank you for the insights!
So are you seeing dicognito as a standalone tool or would you use it as addon to your internal companies' tool?
Without wanting to criticize your coverage, it appears to me that using dicognito without caring too much about the tags contained in ones Dicom-files, there still might be some that could leak information, that wouldn't be altered.
Have you thought about remodeling, so that you'd iterate over the table I added before and just check against the occurrence in the file? Like that you could reuse all the classes you created but stick to standardized anonymization regulations.
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Related Issues (20)
- Add option to anonymize studies with StudyDateTime (and similar) set to now HOT 5
- Allow burned in annotations to cause a warning or failure to anonymize
- Support Python 3.10 HOT 1
- Fails to anonymize LEI file with Mitra global patient ID when using pydicom 2.2.x HOT 1
- How to map original to anonymized data in recursive mode? HOT 7
- Support fully-reproducible deidentification HOT 4
- Please fully document which attributes are removed/cleared/modified HOT 2
- Command-line anonymizer fails if an object doesn't have an AccessionNumber
- Anonymize order numbers
- Anonymize Mitra Global Patient ID
- Fails on multi-valued dates and times
- Fails to anonymize TimeOfLastCalibration
- Add option to write anonymized files to another directory HOT 2
- Fails to anonymize object with Issue Date of Imaging Service Request HOT 1
- Same patient names anonymize differently when formatted differently HOT 4
- Deflated files are corrupt when anonymized from the command line.
- Date/time offset is not always the same for a given seed
- Unable to anonymize dataset with encapsulated pixel data that contains embedded sequence delimiter HOT 2
- Anonymizing dataset with StationName but no Modality fails
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