A numerical method for an inverse problem for an elliptic equation with the running source at multiple positions is presented. This algorithm does not rely on a good first guess for the solution. The so-called ‘approximate global convergence’ property of this method is shown here. The performance of the algorithm is verified on real data for Diffusion Optical Tomography. Direct applications are in near-infrared laser imaging technology for stroke detection in brains of small animals.

中文翻译：

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通过近似全局收敛逆算法对真实数据中的体模进行光学成像

提出了一种求解多位置运行源椭圆方程反问题的数值方法。该算法不依赖于对解决方案的良好初步猜测。此处显示了该方法所谓的“近似全局收敛”特性。该算法的性能在扩散光学层析成像的真实数据上得到验证。直接应用是用于小动物大脑中风检测的近红外激光成像技术。