Liver vessel tree generation based on skeletonization and graph representation

Yufei Chen, Klaus Drechsler, Weidong Zhao, Cristina Oyarzun Laura

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Liver vessel tree generation is of importance for liver disease diagnosis and surgery plan. In this paper, we propose a method for generation of the liver vessel tree based on skeletonization and graph representation. First of all, basic methodology in the proposed method is introduced. Secondly, the 3D-thinning skeletonization algorithm together with the graph-based technique are employed on the liver vasculature to form an undirected cyclic graph. Thirdly, a new flow conservation based approach is applied to efficiently prune the graph into a directed acyclic tree. Experiments on a variety of liver CT datasets show the effectiveness and efficiency of the proposed method.

Original languageEnglish
Title of host publication5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011
DOIs
StatePublished - 2011
Externally publishedYes
Event5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011 - Wuhan, China
Duration: 10 May 201112 May 2011

Publication series

Name5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011

Conference

Conference5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011
Country/TerritoryChina
CityWuhan
Period10/05/1112/05/11

Keywords

  • Graph representation and pruning
  • Thinning skeletonization
  • Vasculature tree generation

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