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Anonymization keys

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@KarlSjostrand KarlSjostrand released this 31 May 20:14
· 1098 commits to master since this release

When sending images to other boxes, essential information is now stored on how anonymization was carried out. This makes it possible for hospital users to maintain a history anonymization keys, patient id to anonymous patient id etc. When sending a new or existing series from an outside box to a hospital box with anonymous attributes matching those in the list of anonymization keys, anonymization is reversed such that the incoming series is placed alongside the corresponding patient and/or study.

This release also includes experimental integration with Matlab for ease of access to slicebox image data in Matlab scripts.