Idiopathic Inflammatory Myopathy (IIM) is a group of immune-mediated myopathies, with high morbidity and mortality. Prior work showed that dedicated accelerated T2 mapping of bilateral thighs can be performed within 3 minutes at high resolution and can detect IIM-induced muscle inflammation. However, manual drawing methods to delineate regions of interest are subject to sampling errors. This study investigated the first utility of a fully automated deep-learning method for segmentation of T2 maps in 64 patients with IIM against healthy controls, with results confirming its feasibility, accuracy, and efficiency.
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