3 ms·
Ideally a proper DNN reconstruction would learn the mapping from the raw-space to image-space. See, for example: https://www.nature.com/articles/nature25988 htt
by dangom 7y ago
Ideally a proper DNN reconstruction would learn the mapping from the raw-space to image-space. See, for example: https://www.nature.com/articles/nature25988 https://www.nature.com/articles/nature25988 .
There is just too much redundancy in MRI data, and initiatives such as FastMRI are fundamental for us to learn what the limits are of feasible acceleration.
Also, some MRI scans take forever and cannot be used in vulnerable populations because of, e.g., breath holds, the need to stand still, etc. The image quality, perhaps counter-intuitively, in some situations improves with acceleration.
- dontreact 7y agoCan you explain why mapping from raw space gets rid of any of the concerns I raised? It’s interesting research for sure. I hope it stays far away from actual clinical use for a while, for the reasons I highlighted. I’d like to see convnets work alongside radiologists for a while and prove robustness to dcanner changes in the wild before we start shoving them deep in the stack where radiologists can’t review what’s happening.