POLARIZATION IMAGING AND SCATTERING MODEL OF CANCEROUS LIVER TISSUES

We apply different polarization imaging techniques for cancerous liver tissues, and compare the relative contrasts for difference polarization imaging (DPI), degree of polarization imaging (DOPI) and rotating linear polarization imaging (RLPI). Experimental results show that a number of polarization...

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Main Authors: DONGZHI LI, HONGHUI HE, NAN ZENG, E DU, RAN LIAO, YONGHONG HE, HUI MA, SHAOXIONG LIU, MINGHUA LI
Format: Article
Language:English
Published: World Scientific Publishing 2013-07-01
Series:Journal of Innovative Optical Health Sciences
Subjects:
Online Access:http://www.worldscientific.com/doi/pdf/10.1142/S1793545813500259
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spelling doaj-3e3796fcfc364e518e8669f5c63e6a1c2020-11-24T23:40:15ZengWorld Scientific PublishingJournal of Innovative Optical Health Sciences1793-54581793-72052013-07-01631350025-11350025-810.1142/S179354581350025910.1142/S1793545813500259POLARIZATION IMAGING AND SCATTERING MODEL OF CANCEROUS LIVER TISSUESDONGZHI LI0HONGHUI HE1NAN ZENG2E DU3RAN LIAO4YONGHONG HE5HUI MA6SHAOXIONG LIU7MINGHUA LI8Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, P. R. ChinaShenzhen Key Laboratory for Minimal Invasive Medical Technologies, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, P. R. ChinaShenzhen Key Laboratory for Minimal Invasive Medical Technologies, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, P. R. ChinaShenzhen Key Laboratory for Minimal Invasive Medical Technologies, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, P. R. ChinaShenzhen Key Laboratory for Minimal Invasive Medical Technologies, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, P. R. ChinaShenzhen Key Laboratory for Minimal Invasive Medical Technologies, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, P. R. ChinaShenzhen Key Laboratory for Minimal Invasive Medical Technologies, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, P. R. ChinaShenzhen Sixth People's Hospital (Nanshan Hospital), Huazhong University of Science and Technology, Union Shenzhen Hospital, Shenzhen 518052, P. R. ChinaShenzhen Sixth People's Hospital (Nanshan Hospital), Huazhong University of Science and Technology, Union Shenzhen Hospital, Shenzhen 518052, P. R. ChinaWe apply different polarization imaging techniques for cancerous liver tissues, and compare the relative contrasts for difference polarization imaging (DPI), degree of polarization imaging (DOPI) and rotating linear polarization imaging (RLPI). Experimental results show that a number of polarization imaging parameters are capable of differentiating cancerous cells in isotropic liver tissues. To analyze the contrast mechanism of the cancer-sensitive polarization imaging parameters, we propose a scattering model containing two types of spherical scatterers and carry on Monte Carlo simulations based on this bi-component model. Both the experimental and Monte Carlo simulated results show that the RLPI technique can provide a good imaging contrast of cancerous tissues. The bi-component scattering model provides a useful tool to analyze the contrast mechanism of polarization imaging of cancerous tissues.http://www.worldscientific.com/doi/pdf/10.1142/S1793545813500259Polarization imagingliver cancerous tissuesscattering modelMonte Carlo simulation
collection DOAJ
language English
format Article
sources DOAJ
author DONGZHI LI
HONGHUI HE
NAN ZENG
E DU
RAN LIAO
YONGHONG HE
HUI MA
SHAOXIONG LIU
MINGHUA LI
spellingShingle DONGZHI LI
HONGHUI HE
NAN ZENG
E DU
RAN LIAO
YONGHONG HE
HUI MA
SHAOXIONG LIU
MINGHUA LI
POLARIZATION IMAGING AND SCATTERING MODEL OF CANCEROUS LIVER TISSUES
Journal of Innovative Optical Health Sciences
Polarization imaging
liver cancerous tissues
scattering model
Monte Carlo simulation
author_facet DONGZHI LI
HONGHUI HE
NAN ZENG
E DU
RAN LIAO
YONGHONG HE
HUI MA
SHAOXIONG LIU
MINGHUA LI
author_sort DONGZHI LI
title POLARIZATION IMAGING AND SCATTERING MODEL OF CANCEROUS LIVER TISSUES
title_short POLARIZATION IMAGING AND SCATTERING MODEL OF CANCEROUS LIVER TISSUES
title_full POLARIZATION IMAGING AND SCATTERING MODEL OF CANCEROUS LIVER TISSUES
title_fullStr POLARIZATION IMAGING AND SCATTERING MODEL OF CANCEROUS LIVER TISSUES
title_full_unstemmed POLARIZATION IMAGING AND SCATTERING MODEL OF CANCEROUS LIVER TISSUES
title_sort polarization imaging and scattering model of cancerous liver tissues
publisher World Scientific Publishing
series Journal of Innovative Optical Health Sciences
issn 1793-5458
1793-7205
publishDate 2013-07-01
description We apply different polarization imaging techniques for cancerous liver tissues, and compare the relative contrasts for difference polarization imaging (DPI), degree of polarization imaging (DOPI) and rotating linear polarization imaging (RLPI). Experimental results show that a number of polarization imaging parameters are capable of differentiating cancerous cells in isotropic liver tissues. To analyze the contrast mechanism of the cancer-sensitive polarization imaging parameters, we propose a scattering model containing two types of spherical scatterers and carry on Monte Carlo simulations based on this bi-component model. Both the experimental and Monte Carlo simulated results show that the RLPI technique can provide a good imaging contrast of cancerous tissues. The bi-component scattering model provides a useful tool to analyze the contrast mechanism of polarization imaging of cancerous tissues.
topic Polarization imaging
liver cancerous tissues
scattering model
Monte Carlo simulation
url http://www.worldscientific.com/doi/pdf/10.1142/S1793545813500259
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AT honghuihe polarizationimagingandscatteringmodelofcancerouslivertissues
AT nanzeng polarizationimagingandscatteringmodelofcancerouslivertissues
AT edu polarizationimagingandscatteringmodelofcancerouslivertissues
AT ranliao polarizationimagingandscatteringmodelofcancerouslivertissues
AT yonghonghe polarizationimagingandscatteringmodelofcancerouslivertissues
AT huima polarizationimagingandscatteringmodelofcancerouslivertissues
AT shaoxiongliu polarizationimagingandscatteringmodelofcancerouslivertissues
AT minghuali polarizationimagingandscatteringmodelofcancerouslivertissues
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