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Proceedings Paper

High-resolution retinal imaging: enhancement techniques
Author(s): Mircea Mujat; Ankit Patel; Nicusor Iftimia; James D. Akula; Anne B. Fulton; R. Daniel Ferguson
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Paper Abstract

AO has achieved success in a range of applications in ophthalmology where microstructures need to be identified, counted, and mapped. Multiple images are averaged to improve the SNR or analyzed for temporal dynamics. For small patches, image registration by cross-correlation is straightforward. Larger images require more sophisticated registration techniques. Strip-based registration has been used successfully for photoreceptor mosaic alignment in small patches; however, if the deformations along long strips are not simple displacements, averaging will actually degrade the images. We have applied non-rigid registration that significantly improves the quality of processed images for mapping cones and rods, and microvasculature in dark-field imaging. Local grid deformations account for local image stretching and compression due to a number of causes. Individual blood cells can be traced along capillaries in high-speed imaging (130 fps) and flow dynamics can be analyzed.

Paper Details

Date Published: 11 March 2015
PDF: 5 pages
Proc. SPIE 9307, Ophthalmic Technologies XXV, 930703 (11 March 2015); doi: 10.1117/12.2082711
Show Author Affiliations
Mircea Mujat, Physical Sciences Inc. (United States)
Ankit Patel, Physical Sciences Inc. (United States)
Nicusor Iftimia, Physical Sciences Inc. (United States)
James D. Akula, Boston Children’s Hospital and Harvard Medical School (United States)
Anne B. Fulton, Boston Children’s Hospital and Harvard Medical School (United States)
R. Daniel Ferguson, Physical Sciences Inc. (United States)


Published in SPIE Proceedings Vol. 9307:
Ophthalmic Technologies XXV
Fabrice Manns; Per G. Söderberg; Arthur Ho, Editor(s)

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