Vascular biomarkers for diabetes and diabetic retinopathy screening

Fan Huang, Samaneh Abbasi-Sureshjani, Jiong Zhang, Erik J. Bekkers, Behdad Dasht Bozorg, Bart M. ter Haar Romeny

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureHoofdstukAcademicpeer review

Samenvatting

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.
Originele taal-2Engels
TitelComputational Retinal Image Analysis
SubtitelTools, Applications and Perspectives
RedacteurenEmanuele Trucco, Tom MacGillivray, Yanwu Xu
UitgeverijAcademic Press Inc.
Hoofdstuk16
Pagina's319-352
Aantal pagina's34
ISBN van elektronische versie978-0-08-102816-2
DOI's
StatusGepubliceerd - 22 nov 2019

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