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Mueller Coherency matrix method for contrast image in tissue polarimetry

机译:组织极化法中对比图像的Mueller相干矩阵方法

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摘要

In this work, we propose the use of the Mueller Coherency matrix of biological tissues in order to increase the information from tissue images and so their contrast. This method involves different Mueller Coherency matrix based parameters, like the eigenvalues analysis, the entropy factor calculation, polarization components crosstalks, linear and circular polarization degrees, hermiticity or the Quaternions analysis in case depolarisation properties of tissue are sufficiently low. All these parameters make information appear clearer and so increase image contrast, so pathologies like cancer could be detected in a sooner stage of development. The election will depend on the concrete pathological process under study. This Mueller Coherency matrix method can be applied to a single tissue point, or it can be combined with a tomographic technique, so as to obtain a 3D representation of polarization contrast parameters in pathological tissues. The application of this analysis to concrete diseases can lead to tissue burn depth estimation or cancer early detection.
机译:在这项工作中,我们建议使用生物组织的Mueller相干性矩阵,以增加来自组织图像的信息,从而增加它们的对比度。该方法涉及不同的基于Mueller Coherency矩阵的参数,例如特征值分析,熵因子计算,极化分量串扰,线性和圆形极化度,遗传率或四元数分析,以防组织的去极化特性足够低。所有这些参数使信息看起来更清晰,因此增加了图像对比度,因此可以在开发的较早阶段检测出诸如癌症之类的病理。选举将取决于正在研究的具体病理过程。这种Mueller相干矩阵方法可以应用于单个组织点,也可以与层析成像技术结合使用,以获得病理组织中偏振对比度参数的3D表示。将此分析应用于具体疾病可导致组织烧伤深度估计或癌症早期检测。

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