Data-consistent Retrospective Motion Correction and Co-Registration
Michael Fieseler, Georg Schramm, Johan Nuyts, Klaus Peter Schäfers, Fernando E. Boada · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · 2024
Motivation: Motion correction algorithms based on Image-based co-registration of retrospectively ordered motion states have limited effectiveness for highly accelerated scans. Goal(s): To develop a robust motion correction algorithm for highly accelerated dynamic MRI scans. Approach: We developed an approach that jointly, and data-consistently, estimates motion-corrected images and motion fields. Results: Simulated and experimental results demonstrate that the proposed approach yields improved motion-corrected images at high acceleration factors during dynamic MRI scans. Impact: The proposed approach could remove previously reported limitations on the use of retrospectively re-ordered dynamic MRI scans.