Adaptive Real-time Control and Online Reconstruction of Free-Breathing Abdominal MRF
Motivation: Abdominal MRF can require long breath-holds. Free-breathing MRF with retrospective binning and offline reconstruction does not guarantee adequate map quality. Goal(s): Develop a self-binning, self-terminating MRF sequence for free-breathing abdominal imaging, providing real-time adjustments to the acquisition for improved image quality. Approach: The proposed MRF sequence monitors respiratory states in real-time, adapts or extends the acquisition based on reconstruction feedback, and performs iterative conjugate gradient reconstruction online. Results: The free-breathing approach shows promising results mitigating motion artifacts, producing similar maps to conventional breath-hold results. Sequence termination commands are processed within 0.55 seconds, while reconstruction is completed within 22 seconds. Impact: This work enables free-breathing abdominal MRF scans with real-time control and online reconstruction. This approach potentially allows for shorter scans with improved map quality without breath-holds. New strategies for real-time control and adaptive MRF imaging can now be investigated.
Authors
- Mark A. Griswold (ORCID: https://orcid.org/0000-0002-3011-6747)
- Kelvin Chow (ORCID: https://orcid.org/0000-0003-0698-1746)
- Andrew Dupuis (ORCID: https://orcid.org/0000-0002-3714-4812)
- Rasim Boyacıoğlu (ORCID: https://orcid.org/0000-0002-3099-2640)
- Madison Kretzler (ORCID: https://orcid.org/0000-0002-2619-2894)
- Yong Chen (ORCID: https://orcid.org/0000-0003-1612-8351)
- Xin-Zhou Li (ORCID: https://orcid.org/0000-0002-4219-9017)
Publication Details
- Journal
- 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
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/0276
- Citations
- 1
- Primary Topic
- Atomic and Subatomic Physics Research
- Type
- article
- Field-Weighted Citation Impact
- 0.34