Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.media.2005.12.002
Title: Segmentation of volumetric MRA images by using capillary active contour
Authors: Yan, P.
Kassim, A.A. 
Keywords: Capillary action
Deformable models
Geodesic active contour
Level set
Magnetic resonance angiography
Vessel segmentation
Issue Date: Jun-2006
Source: Yan, P., Kassim, A.A. (2006-06). Segmentation of volumetric MRA images by using capillary active contour. Medical Image Analysis 10 (3 SPEC. ISS.) : 317-329. ScholarBank@NUS Repository. https://doi.org/10.1016/j.media.2005.12.002
Abstract: Precise segmentation of three-dimensional (3D) magnetic resonance angiography (MRA) images can be a very useful computer aided diagnosis (CAD) tool for clinical routines. Level sets based evolution schemes, which have been shown to be effective and easy to implement for many segmentation applications, are being applied to MRA data sets. In this paper, we present a segmentation scheme for accurately extracting vasculature from MRA images. Our proposed algorithm models capillary action and derives a capillary active contour for segmentation of thin vessels. The algorithm is implemented using the level set method and has been applied successfully on real 3D MRA images. Compared with other state-of-the-art MRA segmentation algorithms, experiments show that our method facilitates more accurate segmentation of thin blood vessels. © 2006 Elsevier B.V. All rights reserved.
Source Title: Medical Image Analysis
URI: http://scholarbank.nus.edu.sg/handle/10635/57352
ISSN: 13618415
DOI: 10.1016/j.media.2005.12.002
Appears in Collections:Staff Publications

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