首页> 外文会议>Workshop on VLSI Signal Processing, IX, 1996, 1996 >Optical signatures of small, deeply embedded, tumor-like inclusionsin tissue-like turbid media based on a random-walk theory of photonmigration
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Optical signatures of small, deeply embedded, tumor-like inclusionsin tissue-like turbid media based on a random-walk theory of photonmigration

机译:微小的,深埋的,肿瘤样包裹体的光学特征光子随机游走理论的组织样浑浊介质中移民

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Optical methods for detecting tumors in tissue are desirable inpart because optical photons are non-ionizing. The highly scatteringnature of tissue makes traditional, and even time-gated, optical imagingimpractical for sites deeper than a few millimeters. Scattering intissue causes dispersion in the path lengths of traversing photons whichblurs images. With a theoretical description of path length dispersion,however, the perturbation caused by a localized anomaly may beidentified from time-resolved intensity data. Random walk theory hasbeen used to show a quantitative, closed-form relationship between theperturbation and the inclusion size and scattering properties relativeto the background. Using Monte Carlo data, the authors show a method foranalyzing 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可取的。 部分原因是光学光子是非电离的。高度分散 组织的性质使传统的甚至是定时的光学成像成为可能 对于深度不超过几毫米的站点来说是不切实际的。散布在 组织导致遍历光子的路径长度发生色散, 图像模糊。通过对光程长度色散的理论描述, 但是,由局部异常引起的扰动可能是 从时间分辨强度数据中识别出来。随机游走理论有 用来显示两者之间的定量,封闭形式的关系 摄动与夹杂物大小和相对散射特性 到背景。使用蒙特卡洛数据,作者展示了一种用于 分析关系对小签名的敏感性, 深埋,异常分散的夹杂物

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