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Optical signatures of small, deeply embedded, tumor-like inclusions in tissue-like turbid media based on a random-walk theory of photon migration

机译:基于光子迁移的随机游走理论,在组织状混浊介质中的微小的,深深嵌入的,肿瘤样包裹体的光学特征

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Optical methods for detecting tumors in tissue are desirable in part because optical photons are non-ionizing. The highly scattering nature of tissue makes traditional, and even time-gated, optical imaging impractical for sites deeper than a few millimeters. Scattering in tissue causes dispersion in the path lengths of traversing photons which blurs images. With a theoretical description of path length dispersion, however, the perturbation caused by a localized anomaly may be identified from time-resolved intensity data. Random walk theory has been used to show a quantitative, closed-form relationship between the perturbation and the inclusion size and scattering properties relative to the background. Using Monte Carlo data, the authors show a method for analyzing the sensitivity of the relationship to signatures of small, deeply embedded, abnormally scattering inclusions.
机译:用于检测组织中肿瘤的光学方法是所希望的,部分原因是光学光子是非电离的。组织的高度散射特性使传统的,甚至是时控的光学成像技术对于深度超过几毫米的部位来说都是不切实际的。组织中的散射会导致遍历光子的路径长度分散,从而使图像模糊。然而,通过对路径长度分散的理论描述,可以从时间分辨强度数据中识别由局部异常引起的扰动。随机游走理论已被用于显示扰动与夹杂物大小和相对于背景的散射特性之间的定量,封闭形式的关系。利用蒙特卡洛数据,作者展示了一种分析关系对小的,深埋的,异常散射的内含物的特征的敏感性的方法。

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