Contrast-independent curvilinear structure enhancement in 3D biomedical images

Sazak, C; Obara, B

doi:10.1109/ISBI.2017.7950723

Contrast-independent curvilinear structure enhancement in 3D biomedical images

Lookup NU author(s): Professor Boguslaw Obara ORCiD

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This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by IEEE, 2017.

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Abstract

© 2017 IEEE. 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.