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Image reconstructions in diffraction tomography from limited transmitted field data sets

机译:从有限的透射场数据集中进行衍射层析成像的图像重建

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摘要

Diffraction tomography reconstructions of objects from limited transmitted field data sets are discussed together with theoretical analyses and results of numerical experiments. It is shown that limited data sets, representing only a small part of the complete data sets, can be used for reconstructions in diffraction tomography with satisfactory accuracy. We also find that, in diffraction tomography based on the hybrid filtered backpropagation and the first-Rytov approximation, the use of limited data sets can provide a larger range of validity than the use of complete data sets, the reason being that limited data sets pose less-severe phase-unwrapping problems.
机译:讨论了从有限的透射场数据集中对物体进行的衍射层析成像重建以及理论分析和数值实验结果。结果表明,有限的数据集(仅代表完整数据集的一小部分)可以令人满意的精度用于衍射层析成像中。我们还发现,在基于混合滤波反向传播和first-Rytov近似的衍射层析成像中,使用有限的数据集比使用完整的数据集可提供更大的有效性,原因是有限的数据集构成不太严重的相位展开问题。

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