Toward retinal vessel parameterization

Xiaohong Gao; Anil A. Bharath; Alun J. Hughes; Alice Stanton; Neil Chapman; Simon Thom

doi:10.1117/12.274160

25 April 1997 Toward retinal vessel parameterization

Xiaohong Gao; Anil A. Bharath; Alun J. Hughes; Alice Stanton; Neil Chapman; Simon Thom;

Author Affiliations +

Proceedings Volume 3034, Medical Imaging 1997: Image Processing; (1997) https://doi.org/10.1117/12.274160
Event: Medical Imaging 1997, 1997, Newport Beach, CA, United States

Abstract

The reliable measurement of retinal vessel geometry in ordinary red-free fundus photographs is a challenging issue. Quite apart from refractive effects which can distort absolute measures, the existence of the central light reflex poses some interesting problems in vessel modelling and segmentation. One aim of our research is to obtain subpixel vessel width precision from digitised retinal photographs. For this purpose, we require a reasonable physical and mathematical model for the vessel intensity profile. In this paper, we review physical principles behind the image formation, leading to a twin Gaussian model. We test 4 non-linear parametric models based on Gaussian forms. Some applications of this model-based approach are introduced, including the parametric detennination of vessel centre and the accurate determination of vessel width in typical noisy clinical images. Key Words : retinal imaging. non-linear parametric models, parametric image models, sub-pixel resolution

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Xiaohong Gao, Anil A. Bharath, Alun J. Hughes, Alice Stanton, Neil Chapman, Simon Thom, "Toward retinal vessel parameterization", Proc. SPIE 3034, Medical Imaging 1997: Image Processing, (25 April 1997); doi: 10.1117/12.274160; https://doi.org/10.1117/12.274160

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