Quantification and characterization of arteries in retinal images
Gao, Xiaohong W. and Bharath, Anil and Stanton, Alice and Hughes, Alun and Chapman, Neil and Thom, Simon (2000) Quantification and characterization of arteries in retinal images. Computer methods and programs in biomedicine, 63 (2). pp. 133-146. ISSN 0169-2607
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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.
|Research Areas:||Middlesex University Schools and Centres > School of Science and Technology > Computer Science|
Middlesex University Schools and Centres > School of Science and Technology > Computer Science > Artificial Intelligence group
|Deposited On:||01 Apr 2009 07:44|
|Last Modified:||24 Oct 2014 15:18|
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