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.