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Proceedings Paper

Assessing distribution features of fibrous structures using Mueller matrix derived parameters: a quantitative method for breast carcinoma tissues detection and staging
Author(s): Yuanxing Shen; Wei Sheng; Honghui He; Weipeng Li; Hui Ma
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Paper Abstract

Breast cancer is a serious threat to women worldwide due to its high incidence and mortality. The early detection is very crucial for the treatment of breast cancer. Currently, for breast cancer patients, mammography and stereotactic needle biopsy followed by time-consuming pathological observations are the primary diagnostic approaches. In our previous study, it was found that the characteristic features of breast carcinoma tissues often include fibrous structures induced by inflammatory reactions, which can be quantitatively evaluated by polarimetric techniques. In this study, we further measure the transmission Mueller matrix microscopic images of 30 breast ductal tissue samples at different progression stages. We calculate the Mueller matrix derived parameters, which can provide the quantitative information on the location, density and distribution behavior of the fibrous structures in the tissues. To evaluate the distribution behavior of fibrous structures more quantitatively and precisely, we also analyze the parameters δ and θ using the gray level cooccurrence matrix (GLCM) analyzing method. The results demonstrate that, the GLCM features Contrast, Energy, Correlation and Homogeneity of δ and θ can be used to describe different textures of fibers distributions among the healthy, ductal carcinoma in situ (DCIS) and invasive ductal carcinoma (IDC) tissue samples, whereas the parameters of unpolarized light intensity images show no prominent differences. The Mueller matrix derived parameters combined with image analyzing methods can be used for label-free detecting and quantitative staging of breast carcinoma tissues, which can be helpful for clinical diagnosis.

Paper Details

Date Published: 21 February 2020
PDF: 9 pages
Proc. SPIE 11239, Dynamics and Fluctuations in Biomedical Photonics XVII, 112390F (21 February 2020); doi: 10.1117/12.2545512
Show Author Affiliations
Yuanxing Shen, Tsinghua Univ. (China)
Wei Sheng, Tsinghua Univ. (China)
Honghui He, Tsinghua Univ. (China)
Weipeng Li, Tsinghua Univ. (China)
Hui Ma, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 11239:
Dynamics and Fluctuations in Biomedical Photonics XVII
Valery V. Tuchin; Martin J. Leahy; Ruikang K. Wang, Editor(s)

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