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Exactly and that’s why this is not a good first place for convnets to be used in the workflow of a radiologist. They should be working alongside the radiologist, not somewhere where it’s impossible for the radiologist to examine what happened.


I think the point is that radiologists and technicians never see thr kspace data, just the image reconstruction of each voxel's intensity.

Such that i am not sure the risks are the same as say convolution nets reconstructing large brain structures.


Yes we do (I’m and MR tech) and it’s a part of trouble shooting on GE scanners. There is also a weird bug on a release I use of the Philips platform that allows a visualisation too. Working with the data in this form is not an everyday thing but it is useful.

K-space data is also saved for reconstructions and processing later on, though everyone prefers to avoid that as it’s horrible and lots of storage is required.

I’ve also worked at a university site where the raw data was collected and used on a daily basis, but that is presumably less common.


I meant radiologist in the sense of a physician which inspects MR images for abnormalities.




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