Realistic Simulation of Body Composition MRI and Field-Strength Dependence
Ecrin Yagiz1, Sophia X. Cui2, Nam G. Lee1, Bilal Tasdelen1, Ye Tian1, and Krishna S. Nayak1,3
1Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States, 2Siemens Medical Solutions USA, Inc.,, Los Angeles, CA, United States, 3Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, United States
MRI is used extensively for body composition assessment in large part due to the increasing prevalence of metabolic disease and obesity. In this work, we provide a framework for simulating body composition MRI, including non-Cartesian sequences and emerging low field strengths. This framework can be utilized to investigate the optimality of acquisition parameters (e.g., resolution, TE, sampling trajectory) and the performance of fat/water separated reconstruction algorithms.
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