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Limited projection 3D X-ray tomography using the maximum entropy method

机译:使用最大熵方法进行有限投影3D X射线断层扫描

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It is well known from physics that the reconstruction of physical quantifies from experimental data is often obstructed by incomplete information, the presence of nose and the ill-posed nature of the inversion problem. It was shown. [1] that a Bayesian reconstruction (BR) in terms of the Maximum Entropy Method (MEM) combined with unbiased a priori knowledge, if available, is one way to overcome the difficulties. Similar problems occur while extracting useful information from incomplete data sets in technical applications.
机译:从物理学上众所周知,根据实验数据进行物理量化的重建通常会因信息不完整,鼻子的存在以及反演问题的不适定性而受阻。它显示了。 [1]根据最大熵方法(MEM)结合无偏先验知识(如果可用)进行贝叶斯重构(BR)是克服困难的一种方法。从技术应用程序中不完整的数据集中提取有用的信息时,也会发生类似的问题。

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