Contrast-independent curvilinear structure enhancement in 3D biomedical images

Sazak, Çiğdem; Obara, Boguslaw

Abstract

A wide range of biomedical applications require detection, quantification and modelling of curvilinear structures in 3D images. Here we propose a 3D contrast-independent approach to enhance curvilinear structures based on the 3D Phase Congruency Tensor concept. The results show that the proposed method is insensitive to intensity variations along the 3D curve, and provides successful enhancement within noisy regions. The quality of the 3D Phase Congruency Tensor is evaluated by comparing it with state-of-the-art intensity-based approaches on both synthetic and real biological images.

Citation

Sazak, Ç., & Obara, B. (2017, April). Contrast-independent curvilinear structure enhancement in 3D biomedical images. Presented at IEEE International Symposium on Biomedical Imaging, Melbourne, Australia

• Presentation Conference Type: Conference Paper (published)
• Conference Name: IEEE International Symposium on Biomedical Imaging
• Start Date: Apr 18, 2017
• End Date: Apr 21, 2017
• Acceptance Date: Jan 9, 2017
• Online Publication Date: Jun 19, 2017
• Publication Date: Jun 19, 2017
• Deposit Date: Feb 6, 2017
• Publicly Available Date: Feb 7, 2017
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 1165-1168
• Book Title: 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) : From Nano to Macro, Melbourne, Australia, 18-21 April 2017 ; proceedings.
• ISBN: 9781509011728
• DOI: https://doi.org/10.1109/isbi.2017.7950723
• Public URL: https://durham-repository.worktribe.com/output/1147629