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Abstract #0442

Fully Automated Unsupervised Multi-Parametric Classification of Adipose Tissue Depots in Skeletal Muscle

Alexander Valentinitsch1, Dimitrios C. Karampinos1, Hamza Alizai1, Karupppasamy Subburaj1, Thomas M. Link1, Sharmila Majumdar1

1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States

To introduce and validate a fully automated unsupervised multi-parametric segmentation method of the subcutaneous adipose tissue and muscle region to determine intermuscular adipose tissue (IMAT) and subcutaneous adipose tissue (SAT) volumes based on the images from a quantitative chemical shift-based water/fat separation approach.