Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Determination of the optical properties of anisotropic biological media using isotropic and anisotropic diffusion models

Not Accessible

Your library or personal account may give you access

Abstract

The anisotropic light propagation in biological tissue is investigated in the steady-state and time domains. Monte Carlo simulations performed for tissue that has anisotropic optical properties show that the steady-state and time-resolved reflectance depends strongly on the measurement direction. We examined the determination of the optical properties using an isotropic diffusion model and found that in the time domain, in contrast to steady- state spatially-resolved reflectance measurements, the obtained absorption coefficient does not depend on the measurement direction and is close to the correct value. We performed measurements of the steady-state and time-resolved reflectance from porcine and bovine tendon which confirmed the theoretical findings. In addition, we compared the results obtained from Monte Carlo simulations with the solutions of the anisotropic diffusion theory for reflectance from semi-infinite media and for transmittance from slabs. In contrast to the literature, we found that the anisotropic diffusion equation is, in general, not a valid approximation to the anisotropic light propagation even in the diffusive regime.

© 2007 SPIE

PDF Article
More Like This
Light Propagation in a Cubic Biological Tissue Having Anisotropic Optical Properties

A. Kienle, R. Michels, and R. Hibst
ThD7 European Conference on Biomedical Optics (ECBO) 2005

Influence of the phase function on the determination of the optical properties of biological media

Alwin Kienle, Florian K Forster, and Raimund Hibst
4432_40 European Conference on Biomedical Optics (ECBO) 2001

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.