Study of Correlation Between Glucose Concentration and Reduced Scattering Coefficients in Turbid media using Optical Coherence Tomography

TL;DR

This study explores the correlation between glucose levels and reduced scattering coefficients in tissue using optical coherence tomography, aiming for non-invasive blood glucose monitoring.

Contribution

It introduces a theoretical model linking glucose concentration to scattering coefficients and automates data analysis with LabVIEW software.

Findings

Established a correlation between glucose concentration and scattering coefficients.

Developed a Monte-Carlo simulation method for extracting scattering coefficients.

Automated experimental setup for non-invasive glucose monitoring.

Abstract

Noninvasive, non-contact and \textit{in vivo} monitoring of blood glucose is a long needed pathology tool for saving patients from recurring pain and hassle that can accompany conventional blood glucose testing methods. Optical coherence tomography known for its high axial resolution imaging modality is adopted in this article for monitoring glucose levels in tissue like media non-invasively. Making use of changes in reduced scattering coefficient due to the refractive-index mismatch between the extracellular fluid and the cellular membranes and armed with a theoretical model, we establish a correlation between the glucose concentration and reduced scattering coefficient. The scattering coefficients are extracted from the deconvoluted interference signal by using Monte-Carlo simulation with valid approximations. A program code using NI LabVIEW(^{TM}) is developed for automation of the experiment, data acquisition and analysis.