Comparative study of Mueller matrix transformation and polar decomposition for optical characterization of turbid media

Optik ◽  
2020 ◽  
Vol 224 ◽  
pp. 165508
Author(s):  
Muaz Iqbal ◽  
Iftikhar Ahmad ◽  
Ahmar Khaliq ◽  
Shamim Khan
2021 ◽  
Vol 11 (21) ◽  
pp. 10416
Author(s):  
Binguo Chen ◽  
Yuxiang Lan ◽  
Haoyu Zhai ◽  
Liangyu Deng ◽  
Honghui He ◽  
...  

Mueller matrix polarimetry is widely used in biomedical studies and applications, for it can provide abundant microstructural information about tissues. Recently, several methods have been proposed to decompose the Mueller matrix into groups of parameters related to specific optical properties which can be used to reveal the microstructural information of tissue samples more clearly and quantitatively. In this study, we thoroughly compare the differences among the parameters derived from the Mueller matrix polar decomposition (MMPD) and Mueller matrix transformation (MMT), which are two popular methods in tissue polarimetry studies and applications, while applying them on different tissue samples for both backscattering and transmission imaging. Based on the Mueller matrix data obtained using the setups, we carry out a comparative analysis of the parameters derived from both methods representing the same polarization properties, namely depolarization, linear retardance, fast axis orientation and diattenuation. IN particular, we propose several modified MMT parameters, whose abilities are also analyzed for revealing the information about the specific type of tissue samples. The results presented in this study evaluate the applicability of the original and modified MMT parameters, then give the suggestions for appropriate parameter selection in tissue polarimetry, which can be helpful for future biomedical and clinical applications.


2021 ◽  
pp. 126756
Author(s):  
Ahmar Khaliq ◽  
Sumara Ashraf ◽  
Banat Gul ◽  
Iftikhar Ahmad

2015 ◽  
Author(s):  
Azael Mora-Núñez ◽  
Geminiano Martinez-Ponce ◽  
Guillermo Garcia-Torales

Sign in / Sign up

Export Citation Format

Share Document