Over the past several decades, the worldwide obesity epidemic has become a significant public health. As a consequence, accurate measurement of obesity is critical for obesity management. In the present study, an automated algorithm is proposed to segment subcutaneous adipose tissue (SAT) and internal adipose tissue (IAT) from the total adipose tissue for whole-body fat distribution analysis using proton density fat fraction (PDFF) magnetic resonance images. The dice coefficient of the network achieved 97.6%, and the processing time was less than 0.1s/image.
This abstract and the presentation materials are available to members only; a login is required.