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Local hybrid level-set method for MRA image segmentation

Hong, Qingqi; Li, Qingde; Tian, Jie


Qingqi Hong

Jie Tian


In this paper, a local hybrid level-set method for medical image segmentation is presented. In proposed method, a locally fitted binary energy function is introduced into the hybrid level-set framework proposed by Zhang et al.. Compared with the globally specified threshold, the use of local binary fitting energy in the hybrid level-set method allows one to extract local image information more accurately, which is essential for enhancing the efficiency and effectiveness of the segmentation of inhomogeneous images. Experimental results on 3D medical images are presented to demonstrate the strengths of the proposed method.

Start Date Jun 29, 2010
Publication Date Dec 31, 2010
Journal Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010
Pages 1397 - 1402
ISBN 978-0-7695-4108-2
APA6 Citation Hong, Q., Li, Q., & Tian, J. (2010). Local hybrid level-set method for MRA image segmentation. doi:10.1109/CIT.2010.250
Keywords Level set; LBF energy; Intensity inhomogeneity; MRA image
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