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Abstract #0684

Pattern Search Pulse Sequence Optimization for Cardiac MR Fingerprinting

Zhongnan Liu1, Jacob Richardson2, Nicole Seiberlich2,3, and Jesse Hamilton2,3
1Department of Electrical Engineering and Computer Science, Univerisity of Michigan, Ann Arbor, MI, United States, 2Department of Radiology, Univeristy of Michigan, Ann Arbor, MI, United States, 3Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States

Synopsis

Keywords: Myocardium, MR Fingerprinting, T1 mapping, T2 mapping, cardiovascular

Motivation: Current cardiac MRF sequences have been designed empirically, and thus do not exploit the full flexibility in sequence design of the MRF framework.

Goal(s): The goal of this project is to develop a sequence optimization method for cardiac MRF, which can be applied to shorten the breathhold and diastolic window.

Approach: An optimization method was implemented that simulates MRI signal generation, spiral undersampling, and pattern recognition during each iteration, using a pattern search algorithm to update multiple parameters.

Results: In simulations, phantoms, and healthy subjects, the shortened optimized scan yielded similar myocardial T1 and T2 values as a previously described cardiac MRF technique.

Impact: This study proposes a sequence optimization method for cardiac MRF with many potential applications, including designing shortened scans to reduce breathhold requirements and limit motion artifacts.

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