Anisotropic Haralick Edge Detection Scheme with Application to Vessel Segmentation

Authors:
Ali Gooya;Takeyoshi Dohi;Ichiro Sakuma;Hongen Liao
Affiliations:
Graduate School of Engineering, The University of Tokyo,;Graduate School of Informaiton Science and Technology, The University of Tokyo,;Graduate School of Engineering, The University of Tokyo,;Graduate School of Engineering, The University of Tokyo, and Translational Systems Biology and Medicine Initiative, The University of Tokyo, Tokyo, 113-8656
Venue:
MIAR '08 Proceedings of the 4th international workshop on Medical Imaging and Augmented Reality
Year:
2008

Citing 7
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Abstract

In this paper, detection of edges in oriented fields is addressed. Haralick edge detection is an accurate scheme for estimation of the edge in a Euclidean space. However, in some applications such as edge detection for vessel segmentation because of the intrinsic orientation of structures, accuracy 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 stops evolution. Haralick edge detection is generalized on a Riemannian space using the inner product of the vectors under a space metric tensor. This eliminates the spurious gradients and preserves the accuracy on the vessel border. Examples are given and the comparison is made with the state-of-the-art flux maximizing flow indicating that significant improvements in terms of leakage minimization and thiner vessel delineation is achievable using our methodology.