• Journal of Innovative Optical Health Sciences
  • Vol. 6, Issue 3, 1350025 (2013)
DONGZHI LI1、2, HONGHUI HE1, NAN ZENG1, E DU1、2, RAN LIAO1, YONGHONG HE1, HUI MA1、2、*, SHAOXIONG LIU3, and MINGHUA LI3
Author Affiliations
  • 1Shenzhen Key Laboratory for Minimal Invasive Medical Technologies Graduate School at Shenzhen, Tsinghua University Shenzhen 518055, P. R. China
  • 2Department of Physics Tsinghua University, Beijing 100084, P. R. China
  • 3Shenzhen Sixth People's Hospital (Nanshan Hospital) Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen 518052, P. R. China
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    DOI: 10.1142/s1793545813500259 Cite this Article
    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[J]. Journal of Innovative Optical Health Sciences, 2013, 6(3): 1350025 Copy Citation Text show less

    Abstract

    Accepted 22 June 2013 Published 24 July 2013 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.
    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[J]. Journal of Innovative Optical Health Sciences, 2013, 6(3): 1350025
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