Segmentation and Evaluation of Adipose Tissue from Whole Body MRI Scans

Accurate quantification of total body and the distribution of regional adipose tissue using manual segmentation is a challenging problem due to the high variation between manual delineations. Manual segmentation also requires highly trained experts with knowledge of anatomy. We present a hybrid segmentation method that provides robust delineation results for adipose tissue from whole body MRI scans. A formal evaluation of accuracy of the segmentation method is performed. This semi-automatic segmentation algorithm reduces significantly the time required for quantification of adipose tissue, and the accuracy measurements show that the results are close to the ground truth obtained from manual segmentations.

• Type: Conference
• Year: 2003
• Where: MICCAI
• Authors: Yinpeng Jin, Celina Imielinska, Andrew Laine, Jayaram K. Udupa, Wei Shen, Steven B. Heymsfield
• Keywords: Hybrid Segmentation Method, Manual Segmentation, Medical Imaging, MICCAI 2003, Semi-automatic Segmentation Algorithm