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Fluorescence spectroscopy of oral tissue: Monte Carlo modeling with site-specific tissue properties

机译:口腔组织的荧光光谱:具有特定部位组织特性的蒙特卡洛建模

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摘要

A Monte Carlo model with site-specific input is used to predict depth-resolved fluorescence spectra from individual normal, inflammatory, and neoplastic oral sites. Our goal in developing this model is to provide a computational tool to study how the morphological characteristics of the tissue affect clinically measured spectra. Tissue samples from the measured sites are imaged using fluorescence confocal microscopy; autofluorescence patterns are measured as a function of depth and tissue sublayer for each individual site. These fluorescence distributions are used as input to the Monte Carlo model to generate predictions of fluorescence spectra, which are compared to clinically measured spectra on a site-by-site basis. A lower fluorescence intensity and longer peak emission wavelength observed in clinical spectra from dysplastic and cancerous sites are found to be associated with a decrease in measured fluorescence originating from the stroma or deeper fibrous regions, and an increase in the measured fraction of photons originating from the epithelium or superficial tissue layers. The simulation approach described here can be used to suggest an optical probe design that samples fluorescence at a depth that gives optimal separation in the spectral signal measured for benign, dysplastic, and cancerous oral mucosa.
机译:使用具有特定位置输入的蒙特卡洛模型来预测来自各个正常,炎性和赘生性口腔部位的深度分辨荧光光谱。我们开发此模型的目标是提供一种计算工具,以研究组织的形态特征如何影响临床测量的光谱。使用荧光共聚焦显微镜对来自测量部位的组织样品进行成像。根据每个部位的深度和组织亚层来测量自身荧光模式。这些荧光分布用作蒙特卡洛模型的输入,以生成荧光光谱的预测,将其与逐个站点的临床测量光谱进行比较。从增生和癌变部位的临床光谱中观察到较低的荧光强度和较长的峰值发射波长,被发现与源自基质或较深纤维区域的测得的荧光减少以及源自于基质或较深纤维区域的光子的测得分数增加有关。上皮或浅表组织层。此处描述的模拟方法可用于建议一种光学探针设计,该探针在一定深度处对荧光进行采样,该深度可在对口腔粘膜,良性增生和癌变进行测量的光谱信号中实现最佳分离。

著录项

  • 来源
    《journal of biomedical optics》 |2009年第1期|p.014009.1-014009.10|共10页
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  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
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  • 入库时间 2022-08-17 14:00:55

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