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Abstract #0276

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

Andrew Dupuis1, Yong Chen2, Madison E Kretzler2, Kelvin Chow3, Xinzhou Li4, Mark A Griswold1,2, and Rasim Boyacioglu2
1Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2Radiology, School of Medicine, Case Western Reserve University, Cleveland, OH, United States, 3Siemens Healthcare Ltd, Calgary, AB, Canada, 4Siemens Medical Solution, USA, St. Louis, MO, United States

Synopsis

Keywords: MR Fingerprinting, MR Fingerprinting, Liver, Respiratory Motion, Scanner Feedback

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.

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Keywords