[notarandomer]

Thanks for the comment! You're right, I was oversimplifying saying that default MRI would be fully sampled. My main point still stands, you can't just chuck ML onto current protocols to do a direct comparison with ML and more conventional reconstruction methods to give clinicians access to both and expect an improvement (beyond potentially denoising) because the conventional scans are already very good at what they do. Where ML can help is in cases where we can't produce conventional scans (e.g. with very short scan times or high temporal resolution).

[lostlogin]

Those striving for shorter scan times (eg functional) go to such massive lengths that it blew my mind when I encountered it on a research magnet. Every millisecond counted.

Watching the mental gymnastics used to deal with multi band/simultaneous multi slice (or whatever vendors call it) with functional MRI was impressive to me.

Using ML to work out voxel results in such low spacial resolution scans has got to be scary.