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首页> 外文会议>Conference on Laser Tissue Interaction XIII: Photochemical, Photothermal, and Photomechanical, Jan 20-23, 2002, San Jose, California >Polarization-Based Optical Imaging and Processing Techniques with Application to the Cancer Diagnostics
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Polarization-Based Optical Imaging and Processing Techniques with Application to the Cancer Diagnostics

机译：基于偏振的光学成像和处理技术及其在癌症诊断中的应用

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In this investigation, a polarization-based imaging system is developed and described that measures the two-dimensional effective backscattering Mueller matrix of a sample in near real-time. As is well known, a Mueller matrix can provide considerable information on the makeup and optical characteristics of a sample and also directly describes how the sample transforms an incident light beam. The ability to measure the two-dimensional Mueller matrix of a biological sample, therefore, can provide considerable information on the sample composition as well as the potential to reveal significant structural information that normally would not be visible through standard imaging techniques. Additional information can also be obtained through the application of image-processing, decomposition, and reconstruction techniques that operate directly on the 2-D Mueller matrix. Using the developed system, it is shown how the induction of internal strain within the sample coupled with image reconstruction and decomposition techniques can further improve image contrast and aid in the detection of boundaries between tissues of different biomechanical and structural properties. The studies presented were performed with both rat tissue and a melanoma-based tissue culture. The results demonstrate how these techniques could provide information that may be of diagnostic value in the physical detection of malignant lesion boundaries.
机译：在这项研究中，开发并描述了一种基于偏振的成像系统，该系统可以近实时地测量样品的二维有效反向散射Mueller矩阵。众所周知，穆勒矩阵可以提供有关样品的组成和光学特性的大量信息，还可以直接描述样品如何转换入射光束。因此，测量生物样品的二维Mueller矩阵的能力可以提供有关样品组成的大量信息，并有可能揭示通常无法通过标准成像技术看到的重要结构信息。通过直接在二维Mueller矩阵上运行的图像处理，分解和重建技术的应用，还可以获得其他信息。使用已开发的系统，将显示出样品内部应变的诱导以及图像重建和分解技术如何进一步改善图像对比度，并有助于检测具有不同生物力学和结构特性的组织之间的边界。提出的研究是用大鼠组织和基于黑色素瘤的组织培养物进行的。结果表明，这些技术如何能够提供对恶性病变边界的物理检测具有诊断价值的信息。

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