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Proceedings Paper

Graph representation of hepatic vessel based on centerline extraction and junction detection
Author(s): Xing Zhang; Jie Tian; Kexin Deng; Xiuli Li; Fei Yang
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Paper Abstract

In the area of computer-aided diagnosis (CAD), segmentation and analysis of hepatic vessel is a prerequisite for hepatic diseases diagnosis and surgery planning. For liver surgery planning, it is crucial to provide the surgeon with a patient-individual three-dimensional representation of the liver along with its vasculature and lesions. The representation allows an exploration of the vascular anatomy and the measurement of vessel diameters, following by intra-patient registration, as well as the analysis of the shape and volume of vascular territories. In this paper, we present an approach for generation of hepatic vessel graph based on centerline extraction and junction detection. The proposed approach involves the following concepts and methods: 1) Flux driven automatic centerline extraction; 2) Junction detection on the centerline using hollow sphere filtering; 3) Graph representation of hepatic vessel based on the centerline and junction. The approach is evaluated on contrast-enhanced liver CT datasets to demonstrate its availability and effectiveness.

Paper Details

Date Published: 14 February 2012
PDF: 6 pages
Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83143G (14 February 2012); doi: 10.1117/12.911126
Show Author Affiliations
Xing Zhang, Institute of Automation (China)
Jie Tian, Institute of Automation (China)
Kexin Deng, Xidian Univ. (China)
Xiuli Li, Institute of Automation (China)
Fei Yang, Institute of Automation (China)

Published in SPIE Proceedings Vol. 8314:
Medical Imaging 2012: Image Processing
David R. Haynor; Sébastien Ourselin, Editor(s)

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