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Proceedings Paper

Mapping local anisotropy axis for scattering media using backscattering Mueller matrix imaging
Author(s): Honghui He; Minghao Sun; Nan Zeng; E. Du; Yihong Guo; Yonghong He; Hui Ma
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Paper Abstract

Mueller matrix imaging techniques can be used to detect the micro-structure variations of superficial biological tissues, including the sizes and shapes of cells, the structures in cells, and the densities of the organelles. Many tissues contain anisotropic fibrous micro-structures, such as collagen fibers, elastin fibers, and muscle fibers. Changes of these fibrous structures are potentially good indicators for some pathological variations. In this paper, we propose a quantitative analysis technique based on Mueller matrix for mapping local anisotropy axis of scattering media. By conducting both experiments on silk sample and Monte Carlo simulation based on the sphere-cylinder scattering model (SCSM), we extract anisotropy axis parameters from different backscattering Mueller matrix elements. Moreover, we testify the possible applications of these parameters for biological tissues. The preliminary experimental results of human cancerous samples show that, these parameters are capable to map the local axis of fibers. Since many pathological changes including early stage cancers affect the well aligned structures for tissues, the experimental results indicate that these parameters can be used as potential tools in clinical applications for biomedical diagnosis purposes.

Paper Details

Date Published: 4 March 2014
PDF: 6 pages
Proc. SPIE 8952, Biomedical Applications of Light Scattering VIII, 89521B (4 March 2014); doi: 10.1117/12.2038979
Show Author Affiliations
Honghui He, Tsinghua Univ. (China)
Minghao Sun, Tsinghua Univ. (China)
Nan Zeng, Tsinghua Univ. (China)
E. Du, Tsinghua Univ. (China)
Yihong Guo, Tsinghua Univ. (China)
Yonghong He, Tsinghua Univ. (China)
Hui Ma, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 8952:
Biomedical Applications of Light Scattering VIII
Adam Wax; Vadim Backman, Editor(s)

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