Investigation of Water Diffusion Dynamics in Corneal Phantoms Using Terahertz Time-domain Spectroscopy

Overview

Journal Biomed Opt Express

Specialty Radiology

Date 2020 Mar 25

PMID 32206409

Citations 8

Authors

Andrew Chen

Omar B Osman

Zachery B Harris

Azin Abazri

Robert Honkanen

M Hassan Arbab

Affiliations

Soon will be listed here.

Abstract

Perturbation of normal corneal water content is a common manifestation of many eye diseases. Terahertz (THz) imaging has the potential to serve as a clinical tool for screening and diagnosing such corneal diseases. In this study, we first investigate the diffusive properties of a corneal phantom using simultaneous THz time-domain spectroscopy (THz-TDS) and gravimetric measurements. We will then utilize a variable-thickness diffusion model combined with a stratified composite-media model to simulate changes in thickness, hydration profile, and the THz-TDS signal as a function of time. The simulated THz-TDS signals show very good agreement with the reflection measurements. Results show that the THz-TDS technique can be used to understand water diffusion dynamics in corneal phantoms as a step towards future quantitative hydration sensing.

Citing Articles

Triage of burn injuries and prediction of wound healing outcome using neural networks and modeling of the terahertz permittivity based on the double Debye dielectric parameters.

Khani M, Harris Z, Osman O, Singer A, Arbab M Biomed Opt Express. 2023; 14(2):918-931.

PMID: 36874480 PMC: 9979665. DOI: 10.1364/BOE.479567.

In Vivo Assessment and Monitoring of Burn Wounds Using a Handheld Terahertz Hyperspectral Scanner.

Osman O, Harris Z, Zhou J, Khani M, Singer A, Arbab M Adv Photonics Res. 2023; 3(5).

PMID: 36589697 PMC: 9797155. DOI: 10.1002/adpr.202100095.

Assessing Corneal Endothelial Damage Using Terahertz Time-Domain Spectroscopy and Support Vector Machines.

Chen A, Harris Z, Virk A, Abazari A, Varadaraj K, Honkanen R Sensors (Basel). 2022; 22(23).

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Accurate and early prediction of the wound healing outcome of burn injuries using the wavelet Shannon entropy of terahertz time-domain waveforms.

Khani M, Osman O, Harris Z, Chen A, Zhou J, Singer A J Biomed Opt. 2022; 27(11).

PMID: 36348509 PMC: 9641274. DOI: 10.1117/1.JBO.27.11.116001.

Deep neural network classification of in vivo burn injuries with different etiologies using terahertz time-domain spectral imaging.

Osman O, Harris Z, Khani M, Zhou J, Chen A, Singer A Biomed Opt Express. 2022; 13(4):1855-1868.

PMID: 35519269 PMC: 9045889. DOI: 10.1364/BOE.452257.

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