Vascular biomarkers for diabetes and diabetic retinopathy screening

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

The chapter describes automated quantitative vascular biomarkers in retinal fundus images for the early warning of retinal damage, as developed in the Sino-Dutch RetinaCheck project. The software implements brain-inspired algorithms, exploiting multiscale, and multiorientation geometric methods. A full pipeline is presented, including background normalization, crossing-preserving vessel enhancement, nonlinear denoising, and contextual vessel completion. The quantitative biomarkers are vessel width, vessel tortuosity, vessel bifurcation measures, and several fractal dimensions. The methods are extensively validated and show high robustness and state-of-the-art performance.
Original languageEnglish
Title of host publicationComputational Retinal Image Analysis
Subtitle of host publicationTools, Applications and Perspectives
EditorsEmanuele Trucco, Tom MacGillivray, Yanwu Xu
PublisherAcademic Press Inc.
Chapter16
Pages319-352
Number of pages34
ISBN (Electronic)978-0-08-102816-2
DOIs
Publication statusPublished - 22 Nov 2019

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    Huang, F., Abbasi-Sureshjani, S., Zhang, J., Bekkers, E. J., Dasht Bozorg, B., & ter Haar Romeny, B. M. (2019). Vascular biomarkers for diabetes and diabetic retinopathy screening. In E. Trucco, T. MacGillivray, & Y. Xu (Eds.), Computational Retinal Image Analysis: Tools, Applications and Perspectives (pp. 319-352). Academic Press Inc.. https://doi.org/10.1016/B978-0-08-102816-2.00017-4