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A Statistical Image Reconstruction Method to Reduce Small Angle Scattering Induced Streaking Artifacts in Differential Phase Contrast CT

机译:减少相差CT中小角度散射引起的条纹伪影的统计图像重建方法

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Statistical iterative reconstruction methods have come to the forefront of CT research in recent years, as they have the ability to incorporate the statistical fluctuations in CT measurements into the image reconstruction process. While statistical iterative reconstruction methods have been found to be beneficial in CT imaging, they have not been extensively investigated or applied in other new and promising CT imaging techniques, such as x-ray differential phase contrast computed tomography (DPC-CT). The purpose of this study is to investigate and apply statistical image reconstruction to DPC-CT to reduce streaking artifacts caused by strong small-angle scattering objects.
机译:近年来CT研究的统计迭代重建方法已成为CT研究的最前沿,因为它们有能力将CT测量中的统计波动纳入图像重建过程。虽然发现统计迭代重建方法在CT成像中是有益的,但它们尚未广泛地研究或应用于其他新的和有前途的CT成像技术,例如X射线差分相位对比计算断层扫描(DPC-CT)。本研究的目的是研究和应用统计图像重建对DPC-CT以减少由强小角度散射物体引起的条纹伪像。

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