Automated Analysis of Retinal Vascular Tortuosity on Color Retinal Images |
| |
Authors: | Alauddin Bhuiyan Baikunth Nath Kotagiri Ramamohanarao Ryo Kawasaki Tien Yin Wong |
| |
Institution: | (1) Department of Computer Science and Software Engineering, The University of Melbourne, Melbourne, 3010, Australia;(2) Centre for Eye Research Australia, East Melbourne, 3002, Australia |
| |
Abstract: | Recent advances in medical imaging modality have enabled us to identify new features in retinal vasculature. One of the features
is retinal vascular tortuosity which has been shown to become a predictive factor for cardiovascular diseases and diabetes.
The changes in retinal vascular tortuosity might be a sign of severity or improvement of the disease. In this paper, we propose
a new method for measuring retinal vascular tortuosity. We adopt a new technique to analyze tortuosity that consider vessel-segment’s
width simultaneously. Our proposed method measures vessel-segment’s tortuosity on its edge. A qualitative assessment shows
that the method is appropriate for measuring the tortuosity of the vessels in different widths and directions in the image.
Finally, a comparison distinguishing tortuous vs. non tortuous vessels demonstrates that the proposed approach may be suitable
for predicting or earlier diagnosis of diabetes or cardiovascular diseases. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|