DocumentCode :
2180842
Title :
Model-based segmentation of cardiac and vascular images
Author :
Niessen, W.J. ; van Bemmel, C.M. ; Frangi, A.E. ; Siers, M.J.A. ; Wink, O.
Author_Institution :
Image Sci. Inst., Univ. Med. Center, Utrecht, Netherlands
fYear :
2002
fDate :
2002
Firstpage :
22
Lastpage :
25
Abstract :
Model-based approaches towards the segmentation of vascular and cardiac images are presented. For vessel segmentation, prior shape information is introduced based on the notion that vessels are elongated structures. For cardiac segmentation, shape information derived from a training set of segmented images is incorporated in an automatically constructed point distribution model of the heart.
Keywords :
biomedical MRI; blood vessels; cardiology; cardiovascular system; image registration; image segmentation; learning (artificial intelligence); medical image processing; physiological models; automatically constructed point distribution model; cardiac images; cardiovascular images; elongated structures; heart; knowledge based approaches; model-based segmentation; prior shape information; training set; vascular images; volumetric elastic registration; Active shape model; Biomedical imaging; Cardiology; Deformable models; Filters; Heart; Image processing; Image segmentation; Robustness; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on
Print_ISBN :
0-7803-7584-X
Type :
conf
DOI :
10.1109/ISBI.2002.1029183
Filename :
1029183
Link To Document :
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