20 November 2014 Mueller matrix characterization on anisotropy in tissue optical models
Author Affiliations +
Abstract
Most of real tissues have anisotropic microstructures or anisotropic optical features. The variation of tissue anisotropy can be an effective character to describe some abnormal conditions in tissues, so it is meaningful for the extraction and comparison of parameters for anisotropy evaluation. In this paper, based on our previously proposed sphere-cylinder scattering model, we simulate and investigate the propagation and scattering of polarized light in tissue models using polarization-sensitive Monte Carlo simulation. Focusing on anisotropic tissues, we consider two type disturbance of highly ordered cylindrical elements: cylinders with a distribution of the orientation angle and the existence of the isotropic elements like spheres. By analyzing the corresponding backscattering Mueller matrices with the changes of structural parameters in our tissue model, we extract a characteristic parameter to describe the symmetry of certain Mueller matrix elements. According to the simulation, the characteristic is less sensitive to the size of cylindrical scatterers, and is especially suitable for the case of detecting the small scale isotropic perturbation in a highly anisotropic medium. The results presented in this paper confirm the feasibility of this new anisotropy factor to measure the degree of tissue anisotropy, and imply the validity of applying it in distinguishing some pathological changes.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yunfei Wang, Yunfei Wang, Nan Zeng, Nan Zeng, Yihong Guo, Yihong Guo, Celong Liu, Celong Liu, Hui Ma, Hui Ma, } "Mueller matrix characterization on anisotropy in tissue optical models", Proc. SPIE 9268, Optics in Health Care and Biomedical Optics VI, 92681X (20 November 2014); doi: 10.1117/12.2071475; https://doi.org/10.1117/12.2071475
PROCEEDINGS
7 PAGES


SHARE
Back to Top