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Proceedings Paper

Depth-sensitive adaptive deconvolution of retinal images
Author(s): Andrey V. Larichev; Nikita G. Irochnikov; Ilia P. Nikolaev; K. Nesterouk; Alexis V. Kudryashov
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Paper Abstract

The capability of resolving fine details on retinal images plays a key role in early diagnostic of vision loss. Biochemical and morphological features, which may be present in the early stages of many retinal diseases, cannot be detected today with current funduscopic instruments because of the losses in spatial resolution introduced by the ocular medium and cornea. One of the ways of the solution of such a problem is to use the adaptive optical systems first for measuring phase distortions and then for its suppression. In our work we suggest the innovative approach that includes two stages of adaptive correction. On the first stage a Shack-Hartman wavefront sensor and modal flexible mirror is used for low-order aberration correction. On the second stage a computer post-processing, or deconvolution, of the residual aberrations is done using the information on the aberrations measured by the sensor. In our report we present the specific design of the Shack-Hartman wavefront sensor suitable for measurements of human eye aberrations. The characteristics of a modal bimorph corrector are discussed. The features of deconvolution technique are outlined.

Paper Details

Date Published: 3 November 2000
PDF: 12 pages
Proc. SPIE 4162, Controlling Tissue Optical Properties: Applications in Clinical Study, (3 November 2000); doi: 10.1117/12.405936
Show Author Affiliations
Andrey V. Larichev, Moscow State Univ. (Russia) and Institute of Laser and Information Technologies (Russia)
Nikita G. Irochnikov, Moscow State Univ. (Russia)
Ilia P. Nikolaev, Moscow State Univ. (Russia)
K. Nesterouk, Moscow State Univ. (Russia)
Alexis V. Kudryashov, Institute of Laser and Information and Technologies (Russia)

Published in SPIE Proceedings Vol. 4162:
Controlling Tissue Optical Properties: Applications in Clinical Study
Valery V. Tuchin, Editor(s)

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