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Optical property measurement from layered biological media.

机译:来自分层生物介质的光学性质测量。

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摘要

Near infrared (NIR) photon reflectance spectroscopy is applied to measurement of blood concentration and its oxygen saturation within biological tissue. The measurement relies upon the changes in photon absorption of hemoglobin in the tissue as changes occur in the hemoglobin concentration and oxygen content. In the present study, NIR light is introduced at the skin surface and the optical properties (absorption and scattering) within the underlying tissue are determined from the resulting surface reflectance. Typically the tissue is modeled as a homogeneous mixture of bloodless tissue and blood, and the model incorporates the physical relationship between the surface reflectance and the optical properties of the tissue. The skin and underlying tissue, although heterogeneous, have a characteristic layered structure. These layers can be differentiated optically. The modeling and the inverse problem of measuring the optical properties in each of the tissue layers from the surface reflectance have been the subject of much attention by a number of investigators. Nonetheless, quantification of the relationship between surface reflectance and the optical properties of layered tissue has not been well understood nor well described.; In the forward problem, tissue optical properties yield surface reflectance profiles (SRPs). Surface reflectance profiles, or SRPs, from diffusive media consisting of two layers are calculated using numerical solutions to the Boltzmann equation. Experimental SRPs are also measured in vitro from a test medium and in vivo from the calf of human subjects. This study provides a new approach to solving the inverse problem of determining optical properties from SRPs. To solve the inverse problem, an effective diffusion constant (Ke) is determined for the layered media. The Ke is the diffusion constant of an equivalent homogeneous medium which best fits the SRP of the layered medium. The departure from Ke of the SRP for a layered media is captured concisely, and Ke becomes a tool in describing the layered optical properties. This approach is applied clinically to measure changes in the blood concentration and oxygenation measured in vivo from normals and patients with peripheral vascular disease.; A significant finding from the modeling was to identify the functional relationship of Ke to the top and lower layer diffusion constants, and the top layer thickness. When applied to in vitro measurements from media containing homogeneous layers with known optical properties, this functional relationship predicted Ke within the 95% confidence interval of the measured Ke. For the in vivo measurements, changes in K e with exercise are consistent with expected exercise physiology. With the incorporation of the known optical absorbance of hemoglobin in the presence of oxygen, the SRPs provide a means to measure the oxygen saturation of a deep tissue layer from the surface light reflectance.
机译:近红外(NIR)光子反射光谱学被用于测量血液浓度及其在生物组织内的氧饱和度。该测量依赖于血红蛋白浓度和氧气含量发生变化时组织中血红蛋白的光子吸收变化。在本研究中,近红外光被引入皮肤表面,并且根据所得的表面反射率确定了下层组织内的光学特性(吸收和散射)。通常,将组织建模为无血组织和血液的均匀混合物,并且该模型合并了表面反射率和组织的光学特性之间的物理关系。皮肤和下面的组织尽管是异质的,但仍具有特征性的分层结构。这些层可以进行光学区分。从表面反射率测量每个组织层中的光学性质的建模和反问题已成为许多研究者关注的主题。但是,对表面反射率和层状组织的光学性质之间的关系的量化还没有很好地理解也没有很好的描述。在向前的问题中,组织的光学特性会产生表面反射率轮廓(SRP)。使用Boltzmann方程的数值解来计算由两层组成的扩散介质的表面反射率轮廓或SRP。实验性SRPs也在体外从测试培养基中进行测量,在体内从人类受试者的小腿进行测量。这项研究提供了一种新的方法来解决从SRP确定光学性质的逆问题。为了解决反问题,确定了层状介质的有效扩散常数(K e )。 K e 是等效的均质介质的扩散常数,它最适合分层介质的SRP。简洁地捕获了SRP对分层介质的K e 的偏离,K e 成为描述分层光学特性的工具。这种方法在临床上用于测量正常人和周围血管疾病患者体内测得的血药浓度和氧合变化。建模的一个重要发现是确定了K e 与顶层和底层扩散常数以及顶层厚度的函数关系。当用于从包含具有已知光学特性的均质层的介质进行体外测量时,这种功能关系可以预测K e 在所测量的K e 的95%置信区间内。对于体内测量,运动引起的K e 的变化与预期的运动生理是一致的。通过在氧气存在下结合已知的血红蛋白光学吸收,SRP提供了一种从表面光反射率测量深层组织氧饱和度的方法。

著录项

  • 作者

    Muller, Matthew R.;

  • 作者单位

    Rensselaer Polytechnic Institute.;

  • 授予单位 Rensselaer Polytechnic Institute.;
  • 学科 Engineering Biomedical.; Physics Optics.
  • 学位 Ph.D.
  • 年度 1998
  • 页码 133 p.
  • 总页数 133
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物医学工程;光学;
  • 关键词

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