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Proceedings Paper

Spatial autocorrelation of Mueller matrix images as indicator of cervical pre-cancer detection
Author(s): Mohammad Zaffar; Asima Pradhan
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Paper Abstract

An autocorrelation study has been conducted on Mueller matrix images of stromal region of cervical tissue sections for early cancer detection. Changes in multiple scattering and deterioration of stromal architecture through their spatial autocorrelation maps are observed among healthy and various grades of cervical precancerous tissues. Autocorrelation maps of diagonal elements reflects increasing depolarization property while the disease progresses. These maps of Mueller elements governing polariance, di-attenuation and birefringence properties qualitatively establish a demarcation of different grades of cancer from normal tissue. Moreover, spatial autocorrelation on optical parameters like circular di-attenuation, liner and linear-45 di-attenuation along with circular birefringence is decreasing with the evolution of cervical cancer. These preliminary results about the stromal biology are very promising in the early detection of cervical cancer.

Paper Details

Date Published: 23 October 2018
PDF: 8 pages
Proc. SPIE 10820, Optics in Health Care and Biomedical Optics VIII, 108202T (23 October 2018); doi: 10.1117/12.2501153
Show Author Affiliations
Mohammad Zaffar, Indian Institute of Technology Kanpur (India)
Asima Pradhan, Indian Institute of Technology Kanpur (India)

Published in SPIE Proceedings Vol. 10820:
Optics in Health Care and Biomedical Optics VIII
Qingming Luo; Xingde Li; Ying Gu; Yuguo Tang, Editor(s)

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