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Inverse problem for biomedical applications: use of prior information on target and forward model parameters

机译:生物医学应用的反问题:使用目标和模型参数的先验信息

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We propose the use of a retrieval operator for biomedical applications in near-infrared spectroscopy. The proposed retrieval operator is based on the "Optimal Estimation" method. The main characteristic of this method relates to the possibility to include prior information both on target and on forward model parameters of the inversion procedure. The possibility of the retrieval operator to elaborate a-priori information can in principle be a benefit for the whole retrieval procedure. This means that a larger number of target parameters can be retrieved, or that a better accuracy can be achieved in retrieving the target parameters. The final goal of this inversion procedure is to have an improved estimate of the target parameters. The procedure has been tested on time-resolved simulated experiments obtained with a Monte Carlo code. The results obtained show that an improved performance of the inversion procedure is achieved when prior information on target and forward model parameters is available. With the use of a priori information on target parameters we have in average a lower difference between the retrieved values of the parameters and their true values, and the error bars determined by the inversion procedure on the retrieved parameters are significantly lower. At the same time a good estimate of the errors on the forward model parameters can significantly improve the retrieval of the target parameters.
机译:我们建议将检索运算符用于近红外光谱中的生物医学应用。提出的检索算子基于“最佳估计”方法。该方法的主要特征涉及在反演过程的目标和正向模型参数上包括先验信息的可能性。检索操作员详细阐述先验信息的可能性原则上可以为整个检索过程带来好处。这意味着可以检索大量目标参数,或者可以在检索目标参数时获得更好的精度。该反演程序的最终目标是对目标参数进行更好的估算。该程序已在通过蒙特卡洛代码获得的时间分辨模拟实验中进行了测试。获得的结果表明,当可获得有关目标和前向模型参数的先验信息时,反演程序的性能会得到改善。通过使用有关目标参数的先验信息,平均而言,参数的取回值与其真实值之间的差较小,并且通过取反过程对取回的参数确定的误差线明显较低。同时,对正向模型参数的误差进行良好的估计可以显着改善目标参数的检索。

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