Quantifying the optical properties and chromophore concentrations of turbid media by chemometric analysis of hyperspectral diffuse reflectance data collected using a fourier interferometric imaging system

A non-contact Fourier transform interferometric imaging system was used to collect hyperspectral images of the steady-state diffuse reflectance from a point source in turbid media for the spectral range of 550-850 nm. Steady- state diffuse reflectance profiles were generated from the hyperspectral im ages, and partial least-squares (PLS) regression was performed on the diffu se reflectance profiles to quantify absorption (mu (alpha)) and reduced sca ttering (mu (s)') properties of turbid media. The feasibility of using PLS regression to predict optical properties was examined for two different set s of spatially-resolved diffuse reflectance data. One set of data was colle cted from 40 turbid phantoms, while the second set was generated by convolv ing Monte Carlo simulations with the instrument response of the imaging sys tem. Study results show that PLS prediction of mu (alpha) and mu (s)' was a ccurate to within +/-8% and +/-5%, respectively, when the model was trained on turbid phantom data. Moreover, PLS prediction of optical properties was considerably faster and more efficient than direct least-squares fitting o f spatially-resolved profiles. When the PLS model was trained on Monte Carl o simulated data and subsequently used to predict mu (alpha) and mu (s)' fr om the diffuse reflectance of turbid phantom, the percent accuracies degrad ed to +/-12% and +/-5%, respectively. These accuracy values are applicable to homogenous, semi-infinite turbid phantoms with optical property ranges c omparable to tissues.