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首页> 外文会议>Optical tomography and spectroscopy of tissue VIII >Histologic models for optical tomography and spectroscopy of tissues
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Histologic models for optical tomography and spectroscopy of tissues

机译：组织的光学层析成像和光谱学的组织学模型

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Histologic information is often the ground truth against which imaging technology performance is measured. Typically, this information is limited, however, due to the need to excise tissue, stain it and have the tissue section manually reviewed. As a consequence, histologic models of actual tissues are difficult to acquire and are generally prohibitively expensive. Models and phantoms for imaging development, hence, have to be simple and reproducible for concordance between different groups developing the same imaging methods but may not reflect tissue structure. Here, we propose a route to histologic information that does not involve the use of human review nor does it require specialized dyes or stains. We combine mid-infrared Fourier transform infrared (FT-IR) spectroscopy with imaging to record data from tissue sections. Attendant numerical algorithms are used to convert the data to histologic information. Additionally, the biochemical nature of the recorded information can be used to generate contrast for other modalities. We propose that this histologic model and spectroscopic generation of contrast can serve as standard for testing and design aid for tomography and spectroscopy of tissues. We discuss here the biochemical and statistical issues involved in creating histologic models and demonstrate the use of the approach in generating optical coherence tomography (OCT) images of prostate tissue samples.
机译：组织学信息通常是衡量成像技术性能的基础。通常，此信息是有限的，但是，由于需要切除组织，对其进行染色并需要手动检查组织部分。结果，难以获得实际组织的组织学模型，并且通常过于昂贵。因此，用于成像开发的模型和体模必须简单且可复制，以使开发相同成像方法的不同组之间保持一致，但可能无法反映组织结构。在这里，我们提出了一种获取组织学信息的途径，该途径不涉及使用人工检查，也不需要专门的染料或染色剂。我们将中红外傅里叶变换红外（FT-IR）光谱技术与成像技术相结合，以记录来自组织切片的数据。话务员数值算法用于将数据转换为组织学信息。另外，所记录信息的生化性质可用于产生其他形式的对比。我们建议这种组织学模型和对比的光谱学生成可以作为组织的层析成像和光谱学的测试和设计辅助工具的标准。我们在这里讨论创建组织学模型所涉及的生化和统计问题，并演示该方法在生成前列腺组织样本的光学相干断层扫描（OCT）图像中的用途。

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