Performance of a lookup table-based approach for measuring tissue optical properties with diffuse optical spectroscopy

  • Nichols B
61Citations
Citations of this article
56Readers
Mendeley users who have this article in their library.

Abstract

Diffuse optical spectroscopy (DOS) provides a powerful tool for fast and noninvasive disease diagnosis. The ability to leverage DOS to accurately quantify tissue optical parameters hinges on the model used to estimate light-tissue interaction. We describe the accuracy of a lookup table (LUT)-based inverse model for measuring optical properties under different conditions relevant to biological tissue. The LUT is a matrix of reflectance values acquired experimentally from calibration standards of varying scattering and absorption properties. Because it is based on experimental values, the LUT inherently accounts for system response and probe geometry. We tested our approach in tissue phantoms containing multiple absorbers, different sizes of scatterers, and varying oxygen saturation of hemoglobin. The LUT-based model was able to extract scattering and absorption properties under most conditions with errors of less than 5 percent. We demonstrate the validity of the lookup table over a range of source-detector separations from 0.25 to 1.48 mm. Finally, we describe the rapid fabrication of a lookup table using only six calibration standards. This optimized LUT was able to extract scattering and absorption properties with average RMS errors of 2.5 and 4 percent, respectively. © 2012 Society of Photo-Optical Instrumentation Engineers (SPIE).

Cite

CITATION STYLE

APA

Nichols, B. S. (2012). Performance of a lookup table-based approach for measuring tissue optical properties with diffuse optical spectroscopy. Journal of Biomedical Optics, 17(5), 057001. https://doi.org/10.1117/1.jbo.17.5.057001

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free