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- W3018278003 abstract "Introduction: Detection of Diabetic Retinopathy (DR) is essential in clinical ophthalmology as it may prevent sight degradation. In this paper, a complete Photoacoustic (PA) analysis is implemented to detect DR in three different eye models representing a healthy eye as well as two abnormal eyes exhibiting Non-Proliferative Retinopathy (NPDR), and Proliferative Retinopathy (PDR) Methods & Materials: Monte Carlo method was used to simulate the interaction of a 0.8 ns duration laser pulse with eye tissues at 750 nm wavelength. Thermal, structural and acoustical analyses were performed using the Finite Element Method (FEM). Results: The results showed that there is a significant change in the amplitude of the detected PA signal for abnormal eye tissues in the retina (P < 0.05) as compared to healthy eye tissues. The maximum amplitude of the received PA signal in the NPDR and the PDR eye models is 5% and 33%, respectively, which are greater than those observed in the healthy eye. Conclusion: These results may provide insights into using PA imaging to detect DR." @default.
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- W3018278003 date "2020-04-23" @default.
- W3018278003 modified "2023-09-24" @default.
- W3018278003 title "Numerical Computational Study of Photoacoustic Signals from Eye Models to Detect Diabetic Retinopathy" @default.
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- W3018278003 doi "https://doi.org/10.2174/1874120702014010011" @default.
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