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

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
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article

Adaptive Real-time Control and Online Reconstruction of Free-Breathing Abdominal MRF

Mark A. Griswold, Kelvin Chow, Andrew Dupuis, Rasim Boyacıoğlu et al.
1 citations
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
Atomic and Subatomic Physics Research
0.34
article

Adaptive Real-time Control and Online Reconstruction of Free-Breathing Abdominal MRF

Mark A. Griswold, Kelvin Chow, Andrew Dupuis, Rasim Boyacıoğlu, Madison Kretzler, Yong Chen, Xin-Zhou Li
article en
1 citations

Abstract

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.

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
Openalex Percentile: Top 38%
Atomic and Subatomic Physics Research
0.34
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Adaptive Real-time Control and Online Reconstruction of Free-Breathing Abdominal MRF — Mark A. Griswold, Kelvin Chow, et al. · 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) | TGRS Research Map | TGRS