Numerical Computational Study of Photoacoustic Signals from Eye Models to Detect Diabetic Retinopathy
Sherif H. ElGohary1, *, Shaimaa A. Azab1, Mohamed K. Metwally2, Noha S. Hassan1
Identifiers and Pagination:Year: 2020
First Page: 11
Last Page: 19
Publisher Id: TOBEJ-14-11
Article History:Received Date: 30/11/2019
Revision Received Date: 20/02/2020
Acceptance Date: 22/02/2020
Electronic publication date: 23/04/2020
Collection year: 2020
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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).
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.
These results may provide insights into using PA imaging to detect DR.