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

Yao Pin Huang, Pau Choo Chung, Chieh Ling Huang, Chun Rong Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2009 IEEE Biomedical Circuits and Systems Conference, BioCAS 2009
Pages141-144
Number of pages4
DOIs
Publication statusPublished - 2009
Event2009 IEEE Biomedical Circuits and Systems Conference, BioCAS 2009 - Beijing, China
Duration: 2009 Nov 262009 Nov 28

Publication series

Name2009 IEEE Biomedical Circuits and Systems Conference, BioCAS 2009

Other

Other2009 IEEE Biomedical Circuits and Systems Conference, BioCAS 2009
Country/TerritoryChina
CityBeijing
Period09-11-2609-11-28

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Biomedical Engineering
  • Electrical and Electronic Engineering

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