Self-learning MR
Sequence Discovery & Optimization - where we come from, where we go.
| Session duration: | 60m |
| Intended audience: | Physicists, Radiologists, AI-folks |
| Moderators: | Moritz Zaiss, Shaihan Malik (Confirmed: Zaiss, Malik) |
| First Speaker: | Tony Stöcker (Confirmed: No) |
| Second Speaker: | Or Perlman (Confirmed: No) |
Session description
In recent years, learning-based reconstruction and post-processing have transformed clinical MRI—making scans faster, sharper, and more informative. However, as data processing continues to improve, the focus is shifting back to data acquisition. With smaller artifacts becoming more apparent, we need to fix them again in acquisition. With reconstruction methods extracting all available information, the frontier of generation of new contrast features gets a revival.
This session addresses all kind of automized sequence discovery or optimization approaches - from historic EPG-based flip angle train optimization, to pulse design, and MRF schedules - trying to put it under the name "Self-learning MR". Yet, self-learning MR has many names: Optimal Control, End-to-End Optimization, Known-Operator Learning, Physics-Informed AI, Strategy Discovery, Optimal Design of Experiments, Dynamic Inverse Problems
Potential topics could be: Self-learning MRF / CEST MRF / MRS Self-learning trajectories Self-learning contrast, sharpness Self-learning over a real scanner Self-learning imperfection mitigation Self-learning pulses, pTX/SMS pulses Self-learning flip angle trains, phases
While learning-based methods are well-known on the reconstruction side, we explicitly focus here on the MR preparation/acquisition side in the broadest sense. Of course, some tailored acquisitions can go hand in hand with tailored reconstruction.
Speakers: Tony Stöcker - classic EPG-based optimizations of TSE, SFFP. pTX pulse design. Or Perlman - Overview on MRF, autoseq, and autoCEST. Moritz Zaiss – End-to-end sequence design
We already have an interest group mailing list with 19 groups/people, who I could invite to submit an abstract if this session gets chosen.
The program will be the following:
- Presentation by Tony Stöcker on history of EPG-baased optimization + advances (15 min)
- Presentation by N. Boulant or Tony Stöcker on Ptx pulses (15 min)
- Presentation by Moritz Zaiss on end to end learing (15 min)
- Presentation by Or Perlmann on AutoCEST(15 min)
- Discussion (15 min)