Modelling, Design and Validation of Spatially Resolved Reflectance Based Fiber Optic Probe for Epithelial Precancer Diagnostics

Naren Naik,Prabodh Pandey,Asima Pradhan,Pankaj Singh,Shivam Shukla

doi:10.3390/app10248836

Abstract

Fiber-optic probes are imperative for in-vivo diagnosis of cancer. Depending on the access to a diseased organ and the mutations one aims to sense, the probe designs vary. We carry out a detailed numerical study of the efficacy of the common probe geometries for epithelial cancer characterization based on spatially resolved reflectance data. As per the outcomes of this comparative study, a probe has been manufactured and using Monte Carlo look up table based inversion scheme, the absorption and scattering coefficients of the epithelium mimicking top layer have been recovered from noisy synthetic as well as experimental data.

Highlights

About 80–90% of human cancers develop in the epithelium layer [1] where early signs of the disease appear [2,3,4]
We carried out a detailed step-by-step analysis to study the potential of the fabricated probe to recover the optical parameters of a two-layered numerical phantom from numerical as well as experimental data
We carry out a detailed numerical evaluation of various probe geometries for early diagnosis of epithelial pre-cancer based on spatially resolved reflectance

Summary

Introduction

About 80–90% of human cancers develop in the epithelium layer [1] where early signs of the disease appear [2,3,4]. Typical elements of probe geometry include source-detector separation (SDS), and angular orientation of incidence and collection of light. In this context, a common technique for probing various depths is spatially resolved reflectance (SRR). In SRR, light beam incident on the tissue interacts with cellular components and is collected after absorption and scattering inside the medium, at different spatial positions. This technique allows one to probe various depths inside the tissue through the spatially collected light. We have utilized the commonly used “Henyey–Greenstein phase function” [33]

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