Segmentation and Evaluation of Adipose Tissue from Whole Body MRI Scans

Articles:

Title:: Segmentation and Evaluation of Adipose Tissue from Whole Body MRI Scans
Author(s):: Jin, Yinpeng
Imielinska, Celina Z.
Laine, Andrew F.
Udupa, Jayaram
Shen, Wei
Heymsfield, Steven B.
Date:: 2003
Type:: Articles
Department:: Biomedical Engineering
Permanent URL:: http://hdl.handle.net/10022/AC:P:9577
Notes:: Medical image computing and computer-assisted intervention - MICCAI 2003 : 6th International Conference, MontrÃ©al, Canada, November 2003 : proceedings ; Lecture Notes in Computer Science, Volume 2878 (Berlin ; New York : Springer-Verlag, 2003), pp. 635-642.
Abstract:: 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.
Subject(s):: Biomedical engineering
DOI:: http://dx.doi.org/10.1007/978-3-540-39899-8_78