Numerical Computational Study of Photoacoustic Signals from Eye Models to Detect Diabetic Retinopathy
Shaimaa A. Azab1
Mohamed K. Metwally2
Noha S. Hassan1
Authors Info & Affiliations
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.
