Automated unsupervised multi‐parametric classification of adipose tissue depots in skeletal muscle

Abstract

The proposed multi-parametric segmentation approach combined with quantitative water-fat imaging provides an accurate and reliable method for an automated calculation of the SAT and IMAT areas reducing considerably the total postprocessing time.