DocumentCode :
3136342
Title :
An Integrated Approach to Visualizing Vascular Trees
Author :
Wu, Jianhuang ; Hu, Qingmao ; Ben Niu
Author_Institution :
Shenzhen Inst. of Adv. Integration Technol., Chinese Univ. of Hong Kong, Shenzhen, China
fYear :
2010
fDate :
18-20 June 2010
Firstpage :
1
Lastpage :
4
Abstract :
Efficient visualization of vascular structures is essential for diagnosis, therapy planning and medical education. In this paper, we present an approach which is based on a prior binary segmentation result, point extraction and Poisson surface reconstruction. The proposed method has been applied to liver vessel trees and aortic vessel trees. The experimental results show that it can effectively achieve a high-quality surface visualization with finer details.
Keywords :
blood vessels; feature extraction; image reconstruction; image segmentation; liver; medical image processing; Poisson surface reconstruction; aortic vessel trees; binary segmentation; high-quality surface visualization; liver vessel trees; point extraction; vascular structures; vascular trees; Clouds; Data mining; Image reconstruction; Medical diagnostic imaging; Medical treatment; Pipelines; Surface morphology; Surface reconstruction; Surgery; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location :
Chengdu
ISSN :
2151-7614
Print_ISBN :
978-1-4244-4712-1
Electronic_ISBN :
2151-7614
Type :
conf
DOI :
10.1109/ICBBE.2010.5517245
Filename :
5517245
Link To Document :
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