NDLI: Multiphase level set with multi dynamic shape models on kidney segmentation of CT image

Content Provider	IEEE Xplore Digital Library
Author	Yao-Pin Huang Pau-Choo Chung Chieh-Ling Huang Chun-Rong Huang
Copyright Year	2009
Description	Author affiliation: Department of Electrical Engineering National Cheng Kung University Tainan, Taiwan (Yao-Pin Huang; Pau-Choo Chung) \|\| Institute of Information Science Academia Sinica Taipei, Taiwan (Chun-Rong Huang) \|\| Dept. of CSIE Chang Jung Christian University Tainan, Taiwan (Chieh-Ling Huang)
Abstract	In this paper, a multiphase level set method with multi dynamic shape models is proposed to segment the kidneys on the abdominal computed tomography (CT) images. Comparing with the original Chan-Vese model three changes are made to improve the segmentation result. The first is using shape model to help the segmentation. The second is using dynamic shape model to deal with the variation of the kidneys. The third is using multi level set to simultaneously segment multi objects. We also develop an algorithm to automatically get the initial level set curves and initial shape models which are essential to apply the proposed method. In the experiments, the proposed method is compared with the Chan-Vese model and the single level set method with shape prior to prove that the proposed method can work better on the kidneys segmentation.
Starting Page	141
Ending Page	144
File Size	600127
Page Count	4
File Format	PDF
ISBN	9781424449170
DOI	10.1109/BIOCAS.2009.5372065
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Information science Minimization methods Shape Piecewise linear techniques Level set Computed tomography Piecewise linear approximation Active contours Abdomen
Content Type	Text
Resource Type	Article

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