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Proceedings Paper

Retinal tissue oxygen imaging by near infrared light and white light interferometry
Author(s): Ronald Xu; Bo Qiang; Cynthia Roberts
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Paper Abstract

Human retina consists of multiple layers, with oxygen supply from chorioidal and retinal vascular circulations. A number of ocular disorders are associated with insufficient oxygen supply in the retinal layer. However no effective method has been developed yet to quantify the retinal tissue oxygen saturation. Diffuse optical imaging and spectroscopy (DOIS) offers a new opportunity for tissue oximetry. The technique is non-invasive, low cost, non-radioactive and real time. However, the application of DOIS in ocular imaging is hindered by the following limitations: 1) lack of spatial and depth resolution; 2) light transportation in thin layers less than single mean free path; 3) low scattering coefficient in neural retina and high absorption coefficient in RPE; 4) interference by retinal vessels. This paper discussed both theoretical and experimental works toward quantitative assessment of retinal tissue oxygenation. Theoretical side, photon migration in multi-layer tissue was simulated by solving diffusion equations in Fourier domain. The resulting diffuse reflectance was compared with Monte Carlo simulation. Experimental side, a dual modal imaging prototype was developed combining white light interferometry for tissue thickness measurement and near infrared spectroscopy for optical property measurement. The capability for white light interfferometry to capture thin layer thickness was demonstrated by a series of benchtop tests.

Paper Details

Date Published: 7 March 2006
PDF: 9 pages
Proc. SPIE 6138, Ophthalmic Technologies XVI, 61381L (7 March 2006); doi: 10.1117/12.651749
Show Author Affiliations
Ronald Xu, Ohio State Univ. (United States)
Bo Qiang, Ohio State Univ. (United States)
Cynthia Roberts, Ohio State Univ. (United States)

Published in SPIE Proceedings Vol. 6138:
Ophthalmic Technologies XVI
Fabrice Manns; Per G. Söderberg; Arthur Ho, Editor(s)

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