Automated retinal vessel recognition and measurements on large datasets

R A Welikala; M M Fraz; S Hayat; A R Rudnicka; P J Foster; P H Whincup; C G Owen; D P Strachan; S A Barman

doi:10.1109/EMBC.2015.7319573

Automated retinal vessel recognition and measurements on large datasets

Annu Int Conf IEEE Eng Med Biol Soc. 2015:2015:5239-42. doi: 10.1109/EMBC.2015.7319573.

Authors

R A Welikala, M M Fraz, S Hayat, A R Rudnicka, P J Foster, P H Whincup, C G Owen, D P Strachan, S A Barman

PMID: 26737473
DOI: 10.1109/EMBC.2015.7319573

Abstract

The characteristics of the retinal vascular network have been prospectively associated with many systemic and vascular diseases. QUARTZ is a fully automated software that has been developed to localize and quantify the morphological characteristics of blood vessels in retinal images for use in epidemiological studies. This software was used to analyse a dataset containing 16,000 retinal images from the EPIC-Norfolk cohort study. The objective of this paper is to both assess the suitability of this dataset for computational analysis and to further evaluate the QUARTZ software.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Databases, Factual*
Humans
Image Processing, Computer-Assisted / methods*
Retinal Vessels / anatomy & histology*
Software*

Abstract

Publication types

MeSH terms

Grants and funding