R-PLUS: A Riemannian anisotropic edge detection scheme for vascular segmentation

Gooya, A. , Dohi, T., Sakuma, I. and Liao, H. (2008) R-PLUS: A Riemannian anisotropic edge detection scheme for vascular segmentation. In: Metaxas, D., Axel, L., Fichtinger, G. and Székely, G. (eds.) Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008. Series: Lecture notes in computer science (5241). Springer, pp. 262-269. ISBN 9783540859871 (doi: 10.1007/978-3-540-85988-8_32)

Abstract

In this paper, detection of edges in oriented fields is addressed. In some applications such as vessel segmentation because of the intrinsic orientation of the structures, edge detection is only demanded in a particular subspace. This is specially usefull when a curve evolution is chosen for segmentation since gradients in parallel to vessel orientation may stop the contour. An anisotropic edge detection scheme is generalized on a Riemannian manifold using the local structure tensor. The method is the generalization of the PLUS operator proposed in [8] for accurate curved edge detection. Examples are given and the comparison is made with the state-of-the-art flux maximizing flow which indicates that significant improvements in terms of leakage minimization and thiner vessel delineation is achievable using our methodology.

• Item Type: Book Sections
• Additional Information: eISBN: 9783540859888.
• Status: Published
• Glasgow Author(s) Enlighten ID: Gooya, Dr Ali
• Authors: Gooya, A., Dohi, T., Sakuma, I., and Liao, H.
• College/School: College of Science and Engineering > School of Computing Science
• Publisher: Springer
• ISBN: 9783540859871

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