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