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Higher-order (nonlinear) diffraction tomography: reconstruction algorithms and computer simulation

机译:高阶(非线性)衍射层析成像:重建算法和计算机仿真

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摘要

The usual propagation transform of diffraction tomography is generalized into higher-order (nonlinear) propagation transforms via use of the Born series as the data-generating model in scattering experiments. Nonlinear tomographic reconstruction algorithms are developed for inversion of scattered field data modeled up to an arbitrarily large (possibly infinite) number of terms in the Born series. A computer simulation study is included to illustrate the performance of the algorithms for the case of scattering objects with cylindrical symmetry.
机译:通过使用Born系列作为散射实验中的数据生成模型,通常可以将衍射层析成像的常规传播变换概括为高阶(非线性)传播变换。开发了非线性断层摄影重建算法,用于对散射场数据进行反演,该数据建模多达Born系列中任意数量(可能无限)的项。包括计算机仿真研究,以说明算法在圆柱对称物体散射情况下的性能。

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