Graph representation of hepatic vessel based on centerline extraction and junction detection

Xing Zhang; Jie Tian; Kexin Deng; Xiuli Li; Fei Yang

doi:10.1117/12.911126

14 February 2012 Graph representation of hepatic vessel based on centerline extraction and junction detection

Xing Zhang, Jie Tian, Kexin Deng, Xiuli Li, Fei Yang

Proceedings Volume 8314, Medical Imaging 2012: Image Processing; 83143G (2012) https://doi.org/10.1117/12.911126
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

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.

Citation Download Citation

Xing Zhang, Jie Tian, Kexin Deng, Xiuli Li, and Fei Yang "Graph representation of hepatic vessel based on centerline extraction and junction detection", Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83143G (14 February 2012); https://doi.org/10.1117/12.911126

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