Abstract #2779

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. Nayak^1,3

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

Synopsis

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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