Remote sensing through reduced Mueller matrix elements

2001 ◽  
Author(s):  
Jeremy D. Ellis ◽  
Aristide C. Dogariu
Keyword(s):  
Remote Sensing ◽  
Mueller Matrix ◽  
Matrix Elements

scholarly journals Differential Mueller matrix imaging of partially depolarizing optically anisotropic biological tissues

2019 ◽  
Vol 35 (4) ◽  
pp. 877-891 ◽  
Author(s):  
L. Trifonyuk ◽  
A. Sdobnov ◽  
W. Baranowski ◽  
V. Ushenko ◽  
O. Olar ◽  
...  
Keyword(s):  
Biological Tissues ◽  
Mueller Matrix ◽  
Differential Diagnostics ◽  
Matrix Elements ◽  
Polycrystalline Structure ◽  
First Order ◽  
Histological Sections ◽  
Laser Polarimetry ◽  
Matrix Mapping ◽  
Differential Matrix

AbstractSince recently, a number of innovative polarization-based optical imaging modalities have been introduced and extensively used in various biomedical applications, with an ultimate aim to attain the practical tool for the optical biopsy and functional characterization of biological tissues. The techniques utilize polarization properties of light and Mueller matrix mapping of microscopic images of histological sections of biological tissues or polycrystalline films of biological fluids. The main drawback of currently developed laser polarimetry approaches and Mueller matrix mapping techniques is poor reproducibility of experimental data. This is due to azimuthal dependence of polarization and ellipticity values of most matrix elements to sample orientation in respect to incidence light polarization. Current study aims to generalize the methods of laser polarimetry for diagnosis of partially depolarizing optically anisotropic biological tissues. A method of differential Mueller matrix mapping for reconstruction of linear and circular birefringence and dichroism parameter distributions of partially depolarizing layers of biological tissues of different morphological structure is introduced and practically implemented. The coordinate distributions of the value of the first-order differential matrix elements of histological sections of brain tissue with spatially structured, optically anisotropic fibrillar network, as well as of parenchymatous tissue of the rectum wall with an “islet” polycrystalline structure are determined. Within the statistical analysis of polarization reproduced distributions of the averaged parameters of phase and amplitude anisotropy, the significant sensitivity of the statistical moments of the third and fourth orders to changes in the polycrystalline structure of partially depolarizing layers of biological tissue is observed. The differentiation of female reproductive sphere connective tissue is realized with excellent accuracy. The differential Mueller matrix mapping method for reconstruction of distributions of linear and circular birefringence and dichroism parameters of partially depolarizing layers of biological tissues of different morphological structures is proposed and substantiated. Differential diagnostics of changes in the phase (good balanced accuracy) and amplitude (excellent balanced accuracy) of the anisotropy of the partially depolarizing layers of the vagina wall tissue with prolapse of the genitals is realized. The maximum diagnostic efficiency of the first-order differential matrix method was demonstrated in comparison with the traditional methods of polarization and Mueller matrix mapping of histological sections of light-scattering biological tissues.

Comparing Classification Performance of Mueller Matrix Parameters for Diffuse Materials

2020 ◽  
Vol 2020 (14) ◽  
pp. 263-1-263-7
Author(s):  
Lisa W Li ◽  
Meredith Kupinski ◽  
Madellyn Brown ◽  
Russell Chipman
Keyword(s):  
Operating Characteristic ◽  
Mueller Matrix ◽  
Classification Performance ◽  
Ideal Observer ◽  
Ensemble Average ◽  
Matrix Elements ◽  
Polarization Imaging ◽  
Full Field ◽  
Irradiance Data ◽  
Observer Model

This work compares the material classification performance of Mueller matrix polarization imaging to RGB imaging. White painted wood and white fabric samples are selected to create a classification task that is challenging for RGB imaging. A Mueller Matrix Imaging Polarimeter with a 30° full field of view is used to capture the Mueller Matrix images at nominal red, green, and blue wavelengths across multiple specular scatter angles. A Bayesian ideal observer model is used to evaluate classification performance. Performance is quantified by the Area under (AUC) the Receiver Operating Characteristic (ROC) curve. An AUC = 1 is perfect detection and AUC = 0.5 is the performance of guessing. The ensemble average AUC does not exceed 0.70 for RGB irradiance data. The ensemble average AUC for all 16 individual Mueller elements is greater than 0.95. Various combinations of Mueller matrix elements are also tested. Elements related to diattenuation and polarizance are nearly perfect classifiers for large scatter angles but the AUC minimum is 0.60 at 20°. Depolarization index is the highest performing parameter out of all tested polarization parameters for scatter angles ≥70° where AUC ≥0.98.

A possible quantitative Mueller matrix transformation technique for anisotropic scattering media/Eine mögliche quantitative Müller-Matrix-Transformations-Technik für anisotrope streuende Medien

2013 ◽  
Vol 2 (2) ◽  
Author(s):  
Honghui He ◽  
Nan Zeng ◽  
E Du ◽  
Yihong Guo ◽  
Dongzhi Li ◽  
...  
Keyword(s):  
Biological Tissues ◽  
Anisotropic Scattering ◽  
Mueller Matrix ◽  
Polar Coordinates ◽  
Matrix Transformation ◽  
Matrix Transformations ◽  
Matrix Elements ◽  
Scattering Media ◽  
Structural And Optical Properties ◽  
Analytical Functions

AbstractBy conducting both the experiments on samples containing well-aligned fibers and Monte Carlo simulations based on the sphere cylinder scattering model (SCSM), we present a Mueller matrix transformation (MMT) method for quantitatively characterizing the properties of anisotropic scattering media. We obtained a set of parameters by fitting the Mueller matrix elements to trigonometric curves in polar coordinates. These new parameters can be expressed as analytical functions of the Mueller matrix elements and display simple relationships to the structural and optical properties of the anisotropic scattering media, such as the anisotropy, the direction of the fibers, and the sizes of the scatterers. Experimental results on biological tissues show that these new parameters can be used in biomedical research. However, further studies are still necessary to correlate the MMT parameters to pathological features.

Sign in / Sign up

Export Citation Format

Share Document