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Quantitative analysis of 4 x 4 Mueller matrix transformation parameters for biomedical imaging

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Title: Quantitative analysis of 4 x 4 Mueller matrix transformation parameters for biomedical imaging
Authors: Sheng, W
Li, W
Qi, J
Liu, T
He, H
Dong, Y
Liu, S
Wu, J
Elson, DS
Ma, H
Item Type: Journal Article
Abstract: Mueller matrix polarimetry is a potentially powerful technique for obtaining microstructural information of biomedical specimens. Thus, it has found increasing application in both backscattering imaging of bulk tissue samples and transmission microscopic imaging of thin tissue slices. Recently, we proposed a technique to transform the 4 × 4 Mueller matrix elements into a group of parameters, which have explicit associations with specific microstructural features of samples. In this paper, we thoroughly analyze the relationships between the Mueller matrix transformation parameters and the characteristic microstructures of tissues by using experimental phantoms and Monte Carlo simulations based on different tissue mimicking models. We also adopt quantitative evaluation indicators to compare the Mueller matrix transformation parameters with the Mueller matrix polar decomposition parameters. The preliminary imaging results of bulk porcine colon tissues and thin human pathological tissue slices demonstrate the potential of Mueller matrix transformation parameters as biomedical diagnostic indicators. Also, this study provides quantitative criteria for parameter selection in biomedical Mueller matrix imaging.
Issue Date: 26-Mar-2019
Date of Acceptance: 19-Mar-2019
URI: http://hdl.handle.net/10044/1/70132
DOI: https://dx.doi.org/10.3390/photonics6010034
ISSN: 2304-6732
Publisher: MDPI
Journal / Book Title: Photonics
Volume: 6
Issue: 1
Copyright Statement: © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Sponsor/Funder: The Royal Society
Cancer Research UK
Engineering & Physical Science Research Council (EPSRC)
Imperial College Healthcare NHS Trust- BRC Funding
Imperial College Healthcare NHS Trust- BRC Funding
Funder's Grant Number: IE150970
25147
EP/R004153/1
RDB04 79560
RD207
Keywords: Science & Technology
Physical Sciences
Optics
Mueller matrix
cylindrical scatterers
birefringence
biomedical imaging
quantitative criteria
MONTE-CARLO-SIMULATION
SPECTRAL REFLECTANCE
CANCEROUS TISSUES
SCATTERING
MICROSTRUCTURES
ANISOTROPY
Science & Technology
Physical Sciences
Optics
Mueller matrix
cylindrical scatterers
birefringence
biomedical imaging
quantitative criteria
MONTE-CARLO-SIMULATION
SPECTRAL REFLECTANCE
CANCEROUS TISSUES
SCATTERING
MICROSTRUCTURES
ANISOTROPY
Publication Status: Published
Open Access location: https://www.mdpi.com/2304-6732/6/1/34
Article Number: ARTN 34
Online Publication Date: 2019-03-26
Appears in Collections:Division of Surgery



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