Novel VAMPIRE algorithms for quantitative analysis of the retinal vasculature

Author

Trucco, Emanuele ; Ballerini, L. ; Relan, D. ; Giachetti, A. ; MacGillivray, T. ; Zutis, K. ; Lupascu, C. ; Tegolo, Domenico ; Pellegrini, E. ; Robertson, G. ; Wilson, P.J. ; Doney, A. ; Dhillon, B.

Author_Institution

Sch. of Comput., Univ. of Dundee, Dundee, UK

fYear

2013

Firstpage

1

Lastpage

4

Abstract

This paper summarizes three recent, novel algorithms developed within VAMPIRE, namely optic disc and macula detection, arteryvein classification, and enhancement of binary vessel masks, and their performance assessment. VAMPIRE is an international collaboration growing a suite of software tools to allow efficient quantification of morphological properties of the retinal vasculature in large collections of fundus camera images. VAMPIRE measurements are currently mostly used in biomarker research, i.e., investigating associations between the morphology of the retinal vasculature and a number of clinical and cognitive conditions.

Keywords

blood vessels; cameras; chemical analysis; cognitive systems; eye; image classification; image segmentation; medical image processing; neurophysiology; software tools; vision; VAMPIRE algorithms; VAMPIRE measurements; artery-vein classification; binary vessel mask enhancement; biomarker research; clinical conditions; cognitive conditions; fundus camera images; macula detection; morphological properties; optic disc; performance assessment; quantitative analysis; retinal vasculature morphology; software tools; Arteries; Biomedical optical imaging; Educational institutions; Optical imaging; Retina; Splines (mathematics); Veins;

fLanguage

English

Publisher

ieee

Conference_Titel

Biosignals and Biorobotics Conference (BRC), 2013 ISSNIP

Conference_Location

Rio de Janerio

ISSN

2326-7771

Print_ISBN

978-1-4673-3024-4

Type

conf

DOI

10.1109/BRC.2013.6487552

Filename

6487552