Optical probe calibration for non-invasive tissue oxygenation measurements

学术界和商业界目前正在加紧工作， 利用身体组织中的光散射对特定病症进行非侵入性诊断 感染.这些方法高度依赖于组织氧合的准确测量。一个主要 基于红外吸收光谱的氧合测量的挑战是适当地 考虑到身体中各种组织层对这种测量的影响。这一建议旨在 研究和开发精确的数学模型，以校正基于IR的氧合测量， 测量皮肤和肌肉之间的各种组织层。我们的方法是首先 通过实验确定影响标准红外（IR）氧合测量的主要因素 吸收光谱，从而研究光传播通过不同组织层的作用 这些光谱测量。基于这些调查，我们将建立一个数学模型， 这说明了光在每一层中传播的效果。目标是提供一种可靠的校准方法 基于患者不同组织层几何形状的红外光谱测量。

Intensive work is now being performed both in the academic and commercial sectors to develop methods of using light scattering in body tissues for non-invasive diagnosis of specific conditions such as urinary tract infections. These methods are highly dependent on an accurate measurement of tissue oxygenation. A major challenge for oxygenation measurements that are based on infrared absorption spectroscopy is to properly account for the effect of various tissue layers in the body on such measurements. This proposal is aimed at researching and developing a precise mathematical model that corrects IR based oxygenation measurements on various tissue layers between the skin and the muscle being measured. Our approach will be to first experimentally identify the primary factors that affect oxygenation measurements from standard infrared (IR) absorption spectroscopy and therefore to investigate the role of light propagation through different tissue layers on these spectroscopic measurements. Based on these investigations, we will develop a mathematical model that accounts for the effect of light propagation in each layer. The goal is to provide a reliable way to calibrate IR spectroscopic measurements based on the geometry of different tissue layers in patients.