DocumentCode
2522471
Title
LEFT VENTRICULAR SEGMENTATION USING DOUBLE REGION-BASED SNAKES
Author
Phumeechanya, Sopon ; Pluempitiwiriyawej, Charnchai
Author_Institution
Dept. of Electr. Eng., Chulalongkorn Univ., Bangkok
fYear
2007
fDate
12-15 April 2007
Firstpage
840
Lastpage
843
Abstract
We present a double region-based snake method to segment endocardial and epicardial boundaries of the left ventricle in cardiac MR images. The method is based on a region-based parametric active contour. The first active contour is designed to segment the endocardial boundary while the second active contour is to segment the epicardial boundary. We insert the inter-contour forces between the two convolving contours in order to control the distance between them. Our proposed method not only has an ability to segment the endocardial and the epicardial boundaries of the left ventricle simultaneously without requiring any training sets, it is also able to segment cardiac MR images with low contrast between the myocardium and other organs. We initially place both contours within the epicardial boundary of the left ventricle. Furthermore, the problem that one of the contours may, on occasions, be attracted to the boundary of the papillary muscles is solved by checking for the convex hull condition. Our results show successful simultaneous segmentations of the endocardial and the epicardial boundaries, thus the left ventricle of the heart in each MR image
Keywords
biomedical MRI; cardiology; convolution; image segmentation; medical image processing; muscle; surface topography; biological organs; cardiac images; convex hull condition; convolving contours; double region-based snakes; endocardial boundary; epicardial boundary; heart; image segmentation; intercontour forces; left ventricle; left ventricular segmentation; magnetic resonance image; magnetic resonance images; myocardium; papillary muscles; region-based parametric active contour; training sets; Active contours; Biomedical imaging; Data visualization; Force control; Heart; Image reconstruction; Image segmentation; Magnetic resonance imaging; Muscles; Myocardium;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
Conference_Location
Arlington, VA
Print_ISBN
1-4244-0672-2
Electronic_ISBN
1-4244-0672-2
Type
conf
DOI
10.1109/ISBI.2007.356983
Filename
4193417
Link To Document