DocumentCode :
2414196
Title :
Hierarchical decomposition of vessel skeletons for graph creation and feature extraction
Author :
Drechsler, Klaus ; Laura, Cristina Oyarzun
Author_Institution :
Cognitive Comput. & Med. Imaging, Fraunhofer Inst. for Comput. Graphics Res. IGD, Darmstadt, Germany
fYear :
2010
fDate :
18-21 Dec. 2010
Firstpage :
456
Lastpage :
461
Abstract :
Graphs are useful representations of the liver vasculature. They support tree matching algorithms in landmark-based registration algorithms, they are useful to separate connected vessels from two different vessel systems and are the basis of vessel annotation tools. In this paper, we propose a hierarchical decomposition of vessel skeletons into sub-branches. This simplifies the process of creating labeled graphs and extracting features. Furthermore, we propose a measure to classify voxels as branch voxels. We applied our method to several datasets with satisfying results and found that the number of sub-branches is normal distributed under rotation.
Keywords :
blood vessels; computerised tomography; feature extraction; graph theory; image matching; image registration; liver; medical image processing; trees (mathematics); feature extraction; graph creation; hierarchical decomposition; landmark-based registration algorithms; liver vasculature; tree matching algorithms; vessel annotation tools; vessel skeletons; Data structures; Feature extraction; Image segmentation; Liver; Portals; Skeleton; Veins; Feature Extraction; Graph; Skeleton;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2010 IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-8306-8
Electronic_ISBN :
978-1-4244-8307-5
Type :
conf
DOI :
10.1109/BIBM.2010.5706609
Filename :
5706609
Link To Document :
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