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Spatial autocorrelation of Mueller matrix images as indicator of cervical pre-cancer detection

机译:Mueller矩阵图像的空间自相关可作为宫颈癌前检测指标

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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.
机译:对宫颈组织切片基质区域的Mueller矩阵图像进行了自相关研究,以进行早期癌症检测。通过健康和各种级别的宫颈癌前组织之间的空间自相关图,可以观察到多重散射的变化和基质结构的退化。对角元素的自相关图反映了疾病进展时增加的去极化特性。这些控制极化,双衰减和双折射特性的Mueller元素图定性地确定了正常组织中不同级别癌症的分界。此外,随着子宫颈癌的发展,诸如圆形双衰减,线性和线性-45双衰减等光学参数的空间自相关以及圆形双折射正在减小。这些关于基质生物学的初步结果在宫颈癌的早期检测中非常有前途。

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