title: Quantification and characterisation of arteries in retinal images.
abstract: A computerised system is presented for the automatic quantification of blood vessel topography in retinal images. This system utilises digital image processing techniques to provide more reliable and comprehensive information for the retinal vascular network. It applies strategies and algorithms for measuring vascular trees and includes methods for locating the centre of a bifurcation, detecting vessel branches, estimating vessel diameter, and calculating angular geometry at a bifurcation. The performance of the system is studied by comparison with manual measurements and by comparing measurements between red-free images and fluorescein images. In general an acceptable degree of accuracy and precision was seen for all measurements, although the system had difficulty dealing with very noisy images and small or especially tortuous blood vessels.
authors.affiliation: Clinical Pharmacology, Imperial College School of Medicine at St. Mary's, Paddington, W2 1NY, London, UK. x.gao@mdx.ac.uk
authors.forename: X W
authors.initials: XW
authors.lastname: Gao
authors.forename: A
authors.initials: A
authors.lastname: Bharath
authors.forename: A
authors.initials: A
authors.lastname: Stanton
authors.forename: A
authors.initials: A
authors.lastname: Hughes
authors.forename: N
authors.initials: N
authors.lastname: Chapman
authors.forename: S
authors.initials: S
authors.lastname: Thom
mesh_terms: D003952:Diagnostic Imaging / Q000379:methods; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D007668:Kidney / Q000098:blood supply; D012077:Renal Artery / Q000033:anatomy & histology*