Title :
Automated segmentation of computed tomography images
Author :
Senseney, Justin ; Hemler, Paul F. ; McAuliffe, Matthew J.
Author_Institution :
BIRSS, Nat. Institutes of Health, Bethesda, MD, USA
Abstract :
An image analysis, visualization, and segmentation system has been developed to assist researchers participating in a world-wide imaging study led by the National Institute on Aging to determine risk factors contributing to chronic osteoarthritis. The system provides a sophisticated but simple to use interface that directs the segmentation of muscle, fat, and other tissues of interest in thigh and abdomen computed tomography images.
Keywords :
computerised tomography; image segmentation; medical image processing; muscle; chronic osteoarthritis; computed tomography images; fat; image analysis; image segmentation; muscle; visualization; Aging; Computed tomography; Computer science; Image analysis; Image segmentation; Information technology; Muscles; Osteoarthritis; Thigh; Visualization;
Conference_Titel :
Computer-Based Medical Systems, 2009. CBMS 2009. 22nd IEEE International Symposium on
Conference_Location :
Albuquerque, NM
Print_ISBN :
978-1-4244-4879-1
Electronic_ISBN :
1063-7125
DOI :
10.1109/CBMS.2009.5255342
