DocumentCode :
3409692
Title :
Graph-based optimal cross section boundary for vessel segmentation and stenosis quantification
Author :
Ning Zhu ; Chung, Albert C. S.
Author_Institution :
Dept. of Comput. Sci. & Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
fYear :
2012
fDate :
Sept. 30 2012-Oct. 3 2012
Firstpage :
2041
Lastpage :
2044
Abstract :
In this paper, we propose a graph-based method to find the optimal cross section boundary for vessel segmentation. The voxels on the cross sectional plane are assumed to lay on the circles around the centerline point. The voxels on the circles with different radii are then transformed to a graph, by which the objective of finding the optimal boundary is converted to choosing the optimal path in the graph. A new cost function for the edge cost of the graph is proposed to obtain a smooth, optimal boundary of the cross section. Based on the optimal cross section boundary, we also propose a method for stenosis detection and quantification. The proposed method for segmentation and stenosis detection has been evaluated to be accurate and highly computationally efficient.
Keywords :
blood vessels; graph theory; image segmentation; medical image processing; centerline point; computational efficiency; cross sectional plane; graph optimal path; graph transformation; graph-based method; graph-based optimal cross section boundary; optimal cross section boundary; stenosis detection; stenosis quantification; vessel segmentation stenosis quantification; Accuracy; Approximation methods; Arteries; Computed tomography; Cost function; Image segmentation; Shape; Graph-Based Optimal Path; Stenosis Quantification; Vessel Segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1522-4880
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2012.6467291
Filename :
6467291
Link To Document :
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