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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