A two-step parameter optimization algorithm for improving estimation of optical properties using spatial frequency domain imaging

This research was aimed at optimizing the inverse algorithm for estimating the optical absorption (mu(a)) and reduced scattering (mu(s)') coefficients from spatial frequency domain diffuse reflectance. Studies were first conducted to determine the optimal frequency resolution and start and end frequencies in terms of the reciprocal of mean free path (1/mfp'). The results showed that the optimal frequency resolution increased with mu(s)' and remained stable when mu(s)' was larger than 2 mm(-1). The optimal end frequency decreased from 0.3/mfp' to 0.16/mfp' with mu(s)' ranging from 0.4 mm(-1) to 3 mm(-1), while the optimal start frequency remained at 0 mm-1. A two-step parameter estimation method was proposed based on the optimized frequency parameters, which improved estimation accuracies by 37.5% and 9.8% for mu(a) and mu(s)', respectively, compared with the conventional one-step method. Experimental validations with seven liquid optical phantoms showed that the optimized algorithm resulted in the mean absolute errors of 15.4%, 7.6%, 5.0% for mu(a) and 16.4%, 18.0%, 18.3% for mu(s)' at the wavelengths of 675 nm, 700nm, and 715 nm, respectively. Hence, implementation of the optimized parameter estimation method should be considered in order to improve the measurement of optical properties of biological materials when using spatial frequency domain imaging technique. Published by Elsevier Ltd.