Diffuse optical imaging (DOI) is a model-based technique used for noninvasive characterization of subsurface tissue function and structure. Compared to more common transmission geometries, reflectance DOI has the advantage of being portable and easily implemented in a clinical setting. However, reflectance measurements are generally not compatible with conventional DOI image reconstruction methods because they typically provide a limited number of unique tissue views. In this paper, we describe a fast and reliable DOI image reconstruction method based on parameterization of tissue and tumor optical contrast, using physiological a priori knowledge. The reconstruction method is formulated within the general Bayesian inversion framework and is capable of handling both model and measurement errors. Simulations are carried out to illustrate the application of this approach, using a limited number of source-detector combinations. It is also shown that parametric reflectance DOI is robust to model misspecifications and measurement noise.

中文翻译：

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反射几何中的参数漫射光学成像。


漫反射光学成像 (DOI) 是一种基于模型的技术，用于非侵入性地表征地下组织的功能和结构。与更常见的透射几何形状相比，反射 DOI 具有便携且易于在临床环境中实施的优点。然而，反射率测量通常与传统的 DOI 图像重建方法不兼容，因为它们通常提供有限数量的独特组织视图。在本文中，我们描述了一种基于组织和肿瘤光学对比度参数化、利用生理先验知识的快速可靠的 DOI 图像重建方法。该重建方法是在一般贝叶斯反演框架内制定的，并且能够处理模型和测量误差。使用有限数量的源-探测器组合进行模拟来说明该方法的应用。研究还表明，参数反射 DOI 对于模型错误规格和测量噪声具有鲁棒性。