Presentation
26 April 2016 A time-resolved subtraction method for evaluating the optical properties of layered turbid media (Conference Presentation)
Author Affiliations +
Abstract
The analysis of statistical moments of time-resolved (TR) diffuse optical signals can be used to evaluate the absorption and scattering coefficients of turbid media; however, this method requires careful measurement of the instrument response function. We propose an alternative approach that avoids this step by estimating the optical properties from the difference of TR measurements acquired at different source-detector separations. The efficiency of this method was validated using simulated data (from analytical model and Monte-Carlo simulations) and tissue-mimicking phantoms. Results for a homogenous and layered medium showed that the subtraction technique can accurately estimate the optical properties. Specifically, our preliminary results show that the method can estimate the optical properties of a homogeneous medium (simulated using μa = 0.1 mm-1, μs’ = 10 mm-1) with an error less than 10 %. Accurate results were obtained at source-detector separations large enough (5 mm or greater) to resolve differences in the moments. Moreover, we also observed that the subtraction method has improved depth sensitivity compared to the classic method of moments. These results suggests that time-resolved subtraction is a simple but effective means of quantifying optical properties of turbid media, in addition to offering a new approach for obtaining spatially sensitive measurements, although additional studies are required to confirm the latter.
Conference Presentation
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel Milej, Androu Abdalmalak, Mamadou Diop, Adam Liebert, and Keith St. Lawrence "A time-resolved subtraction method for evaluating the optical properties of layered turbid media (Conference Presentation)", Proc. SPIE 9706, Optical Interactions with Tissue and Cells XXVII, 970616 (26 April 2016); https://doi.org/10.1117/12.2209595
Advertisement
Advertisement
KEYWORDS
Optical properties

Monte Carlo methods

Data modeling

Tissue optics

Absorption

Error analysis

Medical research

Back to Top