Liu Yudi, Dong Yang, Si Lu, Meng Ruoyu, Dong Yanmin, Ma Hui
Center for Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen 518055, China.
These authors contributed equally to this work.
Biomed Opt Express. 2021 Feb 23;12(3):1593-1608. doi: 10.1364/BOE.416382. eCollection 2021 Mar 1.
Digital pathology has shown great importance for diagnostic purposes in the digital age by integrating basic image features into multi-modality information. We quantify the degree of correlation between the multiple texture features from H&E images and polarization parameter sets derived from Mueller matrix images of the same sample to provide more microstructural information for assisting diagnosis. The experimental result shows the correlations between texture feature and polarization parameter via Pearson coefficients. Polarization parameters , and the depolarization parameter correlated with image texture features and , and can be used as powerful tools to quantitatively characterize cell nuclei related with tumor progression in breast pathological tissues. Polarization parameters and associated with the image texture feature have great potential for the quantitative characterization of proliferative fibers produced by inflammation. Furthermore, polarization parameters have the advantages of stable recognition in low resolution images. This work validates the associations between image texture features and polarization parameters and the merit of polarization imaging methods in low-resolution situations.
在数字时代，数字病理学通过将基本图像特征整合到多模态信息中，在诊断方面显示出了巨大的重要性。我们量化了来自苏木精-伊红（H&E）图像的多个纹理特征与同一样本的穆勒矩阵图像导出的偏振参数集之间的相关程度，以提供更多微观结构信息辅助诊断。实验结果通过皮尔逊系数显示了纹理特征与偏振参数之间的相关性。偏振参数 、 以及去偏振参数 与图像纹理特征 和 相关，可作为定量表征乳腺病理组织中与肿瘤进展相关的细胞核的有力工具。与图像纹理特征 相关的偏振参数 和 在定量表征炎症产生的增殖性纤维方面具有巨大潜力。此外，偏振参数在低分辨率图像中具有稳定识别的优势。这项工作验证了图像纹理特征与偏振参数之间的关联以及偏振成像方法在低分辨率情况下的优点。
