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arXiv · 1902.00550

2D and 3D Vascular Structures Enhancement via Multiscale Fractional Anisotropy Tensor

Haifa F. Alhasson·Shuaa S. Alharbi·Boguslaw Obara
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Abstract

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.

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Haifa F. Alhasson, Shuaa S. Alharbi, Boguslaw Obara. 2019-02-01. 2D and 3D Vascular Structures Enhancement via Multiscale Fractional Anisotropy Tensor. https://arxiv.org/abs/1902.00550

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