RESEARCH ARTICLE
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
Article Information
Identifiers and Pagination:
Year: 2020Volume: 14
First Page: 11
Last Page: 19
Publisher ID: TOBEJ-14-11
DOI: 10.2174/1874120702014010011
Article History:
Received Date: 30/11/2019Revision 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.
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.