The Multiscale Bowler-Hat Transform for Vessel Enhancement in 3D Biomedical Images

Sazak, Ç., Nelson, C. J. and Obara, B. (2018) The Multiscale Bowler-Hat Transform for Vessel Enhancement in 3D Biomedical Images. In: British Machine Vision Conference 2018, Newcastle upon Tyne, UK, 3-6 Sep 2018,

Abstract

Enhancement and detection of 3D vessel-like structures has long been an open problem as most existing image processing methods fail in many aspects, including a lack of uniform enhancement between vessels of different radii and a lack of enhancement at the junctions. Here, we propose a method based on mathematical morphology to enhance 3D vessel-like structures in biomedical images. The proposed method, 3D bowler-hat transform, combines sphere and line structuring elements to enhance vessel-like structures. The proposed method is validated on synthetic and real data and compared with state-of-the-art methods. Our results show that the proposed method achieves a high-quality vessel-like structures enhancement in both synthetic and real biomedical images, and is able to cope with variations in vessels thickness throughout vascular networks while remaining robust at junctions.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Nelson, Dr Chas
• Authors: Sazak, Ç., Nelson, C. J., and Obara, B.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
• College/School: College of Science and Engineering > School of Physics and Astronomy
• Research Group: Imaging Concepts Group
• Copyright Holders: Copyright © 2018 The Authors
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

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