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Proceedings Paper

Vesselness propagation: a fast interactive vessel segmentation method
Author(s): Wenli Cai; Frank Dachille; Gordon J. Harris; Hiroyuki Yoshida
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Paper Abstract

With the rapid development of multi-detector computed tomography (MDCT), resulting in increasing temporal and spatial resolution of data sets, clinical use of computed tomographic angiography (CTA) is rapidly increasing. Analysis of vascular structures is much needed in CTA images; however, the basis of the analysis, vessel segmentation, can still be a challenging problem. In this paper, we present a fast interactive method for CTA vessel segmentation, called vesselness propagation. This method is a two-step procedure, with a pre-processing step and an interactive step. During the pre-processing step, a vesselness volume is computed by application of a CTA transfer function followed by a multi-scale Hessian filtering. At the interactive stage, the propagation is controlled interactively in terms of the priority of the vesselness. This method was used successfully in many CTA applications such as the carotid artery, coronary artery, and peripheral arteries. It takes less than one minute for a user to segment the entire vascular structure. Thus, the proposed method provides an effective way of obtaining an overview of vascular structures.

Paper Details

Date Published: 15 March 2006
PDF: 9 pages
Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 614447 (15 March 2006); doi: 10.1117/12.653637
Show Author Affiliations
Wenli Cai, Massachusetts General Hospital (United States)
Frank Dachille, Viatronix, Inc. (United States)
Gordon J. Harris, Massachusetts General Hospital (United States)
Hiroyuki Yoshida, Massachusetts General Hospital (United States)

Published in SPIE Proceedings Vol. 6144:
Medical Imaging 2006: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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