Mar 3, 2022, 5:14:48 AMMar 3
Recently, I happened to be present at a meeting of professionals in medical imaging where a requirement was formulated concerning the generation of bulk arrays of mock DICOM patients with highly realistic (but faked) data on all levels including the images.
The use cases discussed were the creation of data for bulk tests, especially those of data protection algorithms.
Whereas it is a relatively feasible thing to generate "scalar" entries at all levels down to the series, the generation of images that would look natural and correlate with the data at all levels, but belong to no real patient, seems to be a problem of a different caliber.
I wonder if someone somewhere has tried to apply the technology used in the generation of deepfaked faces to create "deepfaked" DICOM images from the scratch.
So far, I failed to find any paper or mention to this topic. I would be thankful for all information and hints.