Computationally effective solution of the inverse problem in time-of-flight spectroscopy
Author(s) -
Faisal Kamran,
Otto H. A. Abildgaard,
Arman Ahamed Subash,
Peter E. Andersen,
Stefan AnderssonEngels,
Dmitry Khoptyar
Publication year - 2015
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.23.006937
Subject(s) - optics , monte carlo method , photon diffusion , spectroscopy , absorption (acoustics) , diffusion , scattering , range (aeronautics) , computational physics , time of flight , inverse , materials science , physics , mathematics , light source , statistics , geometry , quantum mechanics , composite material , thermodynamics
Photon time-of-flight (PTOF) spectroscopy enables the estimation of absorption and reduced scattering coefficients of turbid media by measuring the propagation time of short light pulses through turbid medium. The present investigation provides a comparison of the assessed absorption and reduced scattering coefficients from PTOF measurements of intralipid 20% and India ink-based optical phantoms covering a wide range of optical properties relevant for biological tissues and dairy products. Three different models are used to obtain the optical properties by fitting to measured temporal profiles: the Liemert-Kienle model (LKM), the diffusion model (DM) and a white Monte-Carlo (WMC) simulation-based algorithm. For the infinite space geometry, a very good agreement is found between the LKM and WMC, while the results obtained by the DM differ, indicating that the LKM can provide accurate estimation of the optical parameters beyond the limits of the diffusion approximation in a computational effective and accurate manner. This result increases the potential range of applications for PTOF spectroscopy within industrial and biomedical applications.
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