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fli-iam / shanoir-ng

Shanoir (SHAring iN vivO Imaging Resources)
GNU General Public License v3.0
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Import: DICOMs: anonymization: introduce defacing into import #490

Open michaelkain opened 4 years ago

michaelkain commented 4 years ago

During the import of DICOM files Shanoir-NG could process a defacing on the imported dicom images. The idea of this issue is: 1) to REALLY study and analyse the need of this feature (see latest scientific results), and to verify, that people on using reconstructed faces from the dicom images can be identified doing an Internet research e.g. on social media (what is not sure). 2) search for a potential out-of-the-box solution to implement this feature, if necessity proven 3) implement this with the import of Shanoir-NG, and think of an application of this feature on the already imported dicom and/or nifti data, e.g. for specific studies

michaelkain commented 4 years ago

Currently not even the reference tool of RSNA, the clinical trial processor (CTP) does provide this feature: http://mircwiki.rsna.org/index.php?title=MIRC_CTP It provides the deletion of a square pixel area depening on rules depending on regex on the dicom data fields, but no defacing at all.

michaelkain commented 4 years ago

Potential tool found for analysis: https://download.brainvoyager.com/bv/doc/UsersGuide/GettingStarted/AnonymizationAndDefacing.html

ebannier2018 commented 4 years ago

Generally speaking I think this would be a very good feature in Shanoir. However, I have a particular example in mind where we need to access to some landmarks on the subjects head, nose and ears for registration purposes and defacing may compromise this. Could the defacing be configured as an option in the study card : defacing yes or no for this series? Also because Shanoir does not only store brain data....

ebannier2018 commented 4 years ago

Ongoing discussing on defacing here if you want to check : https://github.com/con/open-brain-consent/issues/90