Share Email Print

Proceedings Paper

Performance of diffusion theory vs. Monte Carlo methods
Author(s): Lise L. Randeberg; Andreas Winnem; Rune Haaverstad; Olav A. Haugen; L. O. Svaasand
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

A reliable theoretical model is essential to reveal information from measured reflectance spectra. Currently, Monte Carlo simulation (MC) is the most popular technique to retrieve optical tissue parameters. However, optical diffusion theory provides an analytic approach that might supersede MC methods due to faster, more efficient algorithms. Diffuse skin reflectance in the 400-800 nm wavelength range was simulated by Monte Carlo and diffusion theory. The impact of detection geometry and source distribution was investigated, and experimental data from bruised and normal skin were fitted using a three layer diffusion model. Spectra from diffusion theory were within 5% of the MC results, and the fit between the two methods was further improved by scaling the dermal absorption parameters with a constant factor. The measurement geometry was found to be of minor impact. Diffusion theory was found to have wide applicability due to fast, efficient algorithms that allow efficient evaluation of experimental data.

Paper Details

Date Published: 7 October 2005
PDF: 8 pages
Proc. SPIE 5862, Diagnostic Optical Spectroscopy in Biomedicine III, 58620O (7 October 2005); doi: 10.1117/12.633028
Show Author Affiliations
Lise L. Randeberg, Norwegian Univ. of Science and Technology (Norway)
Andreas Winnem, Norwegian Univ. of Science and Technology (Norway)
Rune Haaverstad, Trondheim Univ. Hospital (Norway)
Olav A. Haugen, Norwegian Univ. of Science and Technology (Norway)
Trondheim Univ. Hospital (Norway)
L. O. Svaasand, Norwegian Univ. of Science and Technology (Norway)

Published in SPIE Proceedings Vol. 5862:
Diagnostic Optical Spectroscopy in Biomedicine III
Mary-Ann Mycek, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?