DocumentCode :
140605
Title :
A novel level set method for segmentation of left and right ventricles from cardiac MR images
Author :
Yu Liu ; Chunming Li ; Shuxu Guo ; Yihua Song ; Yue Zhao
Author_Institution :
Center for Image Process. & Comput. Vision, Jilin Univ., Changchun, China
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
4719
Lastpage :
4722
Abstract :
In this paper, we propose a novel level set method for segmentation of cardiac left and right ventricles based on the distance regularized level set evolution (DRLSE) framework [7] and the distance regularized two-layer level set (DR2LS) model [17]. First, DRLSE is applied to obtain a preliminary segmentation of left and right ventricles, which is then used to initialize the endocardial contour, which is represented by the zero level contour of the level set function in our method. Then, the epi-cardial contour is represented by a different level contour of the same level set function. These two level sets are optimized by an energy minimization process to best fit the true endocardium and epicardium. In order to ensure smoothly varying distance between the two level contours, we introduce a distance regu-larization constraint in the energy function. With the region-scalable fitting (RSF) energy [8] as the data term, our method is able to deal with intensity inhomogeneities in the images, which is a main source of difficulty in image segmentation. Our method has been tested on cardiac MR images with promising results.
Keywords :
biomedical MRI; cardiology; image segmentation; medical image processing; minimisation; DR2LS model; cardiac MR imaging; cardiac left ventricle segmentation; cardiac right ventricle segmentation; distance regularization constraint; endocardial contour; energy function; energy minimization process; epicardial contour; image segmentation; intensity inhomogeneity; level set function; region-scalable fitting energy; two level contours; two-layer level set model; zero level contour; Biomedical imaging; Educational institutions; Image segmentation; Level set; Myocardium; Nonhomogeneous media;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944678
Filename :
6944678
Link To Document :
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