Vessel enhancement using directional features. | [Information technology Journal • 2007]

Author(s):

1. Mohammad A. U. Khan: Department of Electrical Engineering, Comsats Institute of Information Technology, Abbottabad, Pakistan

2. Rabya Bahadur: Department of Electrical Engineering, Comsats Institute of Information Technology, Abbottabad, Pakistan

3. Sara Javed: Department of Electrical Engineering, Comsats Institute of Information Technology, Abbottabad, Pakistan

4. Phan Tran Ho Truc: Department of Computer Engineering, Kyung Hee University, Suwon, South Korea

Abstract:

In this study, the authors propose a novel framework for vessel enhancement in angiography images. The proposed approach utilize the image directional information to estimate the Hessian eigenvalues with less noise sensitivity and thus can correctly reveal more small, thin vessels. Also, the directional image decomposition helps to avoid junction suppression due to which, yields vessel tree are more continuous. Qualitative and quantitative evaluations show that the proposed filter generates better performance in comparison with conventional Hessian-based approaches.

Page(s): 851-857

DOI: DOI not available

Published: Journal: Information technology Journal, Volume: 6, Issue: 6, Year: 2007

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