DocumentCode :
2098050
Title :
A Thinning-based Liver Vessel Skeletonization Method
Author :
Chen, Yufei ; Drechsler, Klaus ; Zhao, Weidong ; Laura, Cristina Oyarzun
Author_Institution :
Post-doctoral Res. Center of Control Sci. & Eng., Tongji Univ., Shanghai, China
fYear :
2011
fDate :
17-18 Sept. 2011
Firstpage :
152
Lastpage :
155
Abstract :
In the clinical practice of diagnosis and treatment of liver disease, how to effectively represent and analyze the vascular structure has been a widely studied topic for a long time. In this paper, we propose a method for the three dimensional skeletal graph generation of liver vessels using 3D thinning algorithm and graph theory. First of all, the principal methods for skeletonization are introduced, followed by their comparative analysis. Secondly, the 3D thinning-based skeletonization method together with a filling hole pre-processing on liver vessel image are employed to form the liver skeleton. A graph-based technique is then employed on the skeleton image to efficiently form the liver vascular graph. The thinning-based liver vessel skeletonization method was evaluated on liver vessel images with other two kinds of skeletonization approaches to show its effectiveness and efficiency.
Keywords :
diseases; graph theory; image thinning; liver; medical image processing; patient diagnosis; patient treatment; 3D skeletal graph generation; 3D thinning algorithm; graph theory; liver disease diagnosis; liver disease treatment; thinning-based liver vessel skeletonization; vascular structure; Biomedical imaging; Computed tomography; Image segmentation; Liver; Skeleton; Three dimensional displays; Topology; liver vessel; skeletonization; three-dimensional thinning algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet Computing & Information Services (ICICIS), 2011 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4577-1561-7
Type :
conf
DOI :
10.1109/ICICIS.2011.44
Filename :
6063216
Link To Document :
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