Presentation
27 April 2016 Applying photoacoustics to quantification of melanin concentration in retinal pigment epithelium (Conference Presentation)
Author Affiliations +
Abstract
The melanin in the retinal pigment epithelium (RPE) protects retina and other ocular tissues by photo-screening and acting as antioxidant and free radical scavenger. It helps maintain normal visual functions since human eye is subjected to lifelong high oxygen stress and photon exposure. Loss of the RPE melanin weakens the protection mechanism and jeopardizes ocular health. Local decrease in the RPE melanin concentration is believed to be both a cause and a sign of early-stage age-related macular degeneration (AMD), the leading blinding disease in developed world. Current technology cannot quantitatively measure the RPE melanin concentration which might be a promising marker in early AMD screening. Photoacoustic ophthalmoscopy (PAOM), as an emerging optical absorption-based imaging technology, can potentially be applied to measure the RPE melanin concentration if the dependence of the detectable photoacoustic (PA) signal amplitudes on the RPE melanin concentrations is verified. In this study, we tested the feasibility of using PA signal ratio from RPE melanin and the nearby retinal blood vessels as an indicator of the RPE melanin variation. A novel whole eye optical model was designed and Monte Carlo modeling of light (MCML) was employed. We examined the influences on quantification from PAOM axial resolution, the depth and diameter of the retinal blood vessel, and the RPE thickness. The results show that the scheme is robust to individual histological and illumination variations. This study suggests that PAOM is capable of quantitatively measuring the RPE melanin concentration in vivo.
Conference Presentation
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Xiao Shu, Hao F Zhang, and Wenzhong Liu "Applying photoacoustics to quantification of melanin concentration in retinal pigment epithelium (Conference Presentation)", Proc. SPIE 9708, Photons Plus Ultrasound: Imaging and Sensing 2016, 97082S (27 April 2016); https://doi.org/10.1117/12.2213840
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KEYWORDS
Photoacoustic spectroscopy

Signal detection

Blood vessels

Eye

Eye models

Ophthalmoscopy

Oxygen

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