Jin Yinpeng author Columbia University. Biomedical Engineering Imielinska Celina Z. author Columbia University. Radiation Oncology Laine Andrew F. author Columbia University. Biomedical Engineering Columbia University. Radiology Udupa Jayaram author Shen Wei author Columbia University. Institute of Human Nutrition Heymsfield Steven B. author Columbia University. Institute of Human Nutrition Columbia University. Biomedical Engineering originator text Articles 2003 English 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. Medical image computing and computer-assisted intervention - MICCAI 2003 : 6th International Conference, Montréal, Canada, November 2003 : proceedings ; Lecture Notes in Computer Science, Volume 2878 (Berlin ; New York : Springer-Verlag, 2003), pp. 635-642. Biomedical engineering http://dx.doi.org/10.1007/978-3-540-39899-8_78 http://hdl.handle.net/10022/AC:P:9577 NNC NNC 2010-08-13 15:47:11 -0400 2012-07-27 13:31:56 -0400 1990 eng