2D and 3D vascular structures enhancement via multiscale fractional anisotropy tensor

Alhasson, HF; Alharbi, SS; Obara, B

doi:10.1007/978-3-030-11024-6_26

2D and 3D vascular structures enhancement via multiscale fractional anisotropy tensor

Lookup NU author(s): Professor Boguslaw Obara ORCiD

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Abstract

© Springer Nature Switzerland AG 2019. The detection of vascular structures from noisy images is a fundamental process for extracting meaningful information in many applications. Most well-known vascular enhancing techniques often rely on Hessian-based filters. This paper investigates the feasibility and deficiencies of detecting curve-like structures using a Hessian matrix. The main contribution is a novel enhancement function, which overcomes the deficiencies of established methods. Our approach has been evaluated quantitatively and qualitatively using synthetic examples and a wide range of real 2D and 3D biomedical images. Compared with other existing approaches, the experimental results prove that our proposed approach achieves high-quality curvilinear structure enhancement.