Automated analysis of retinal vascular tortuosity on color retinal images.

Journal Article (Journal Article)

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.

Full Text

Duke Authors

Cited Authors

  • Bhuiyan, A; Nath, B; Ramamohanarao, K; Kawasaki, R; Wong, TY

Published Date

  • April 2012

Published In

Volume / Issue

  • 36 / 2

Start / End Page

  • 689 - 697

PubMed ID

  • 20703661

International Standard Serial Number (ISSN)

  • 0148-5598

Digital Object Identifier (DOI)

  • 10.1007/s10916-010-9536-6


  • eng

Conference Location

  • United States