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Enhanced reconstruction algorithm for moire artifact suppression in Talbot-Lau x-ray imaging

机译:Talbot-Lau X射线成像中的莫尔曲面抑制的增强重建算法

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Talbot-Lau x-ray imaging (TLXI) is an innovative and promising imaging technique providing information about the x-ray attenuation, scattering, and refraction features of objects. However, the method is susceptible to vibrations and system component imprecisions, which are inevitable in clinical and industrial practice. Those influences provoke grating displacements and hence errors in the acquired raw data, which cause moire artifacts in the reconstructed images. We developed an enhanced reconstruction algorithm capable of compensating these errors by adjusting the grating positions and thus suppressing the occurrence of moire artifacts. The algorithm has been developed with regard to a future application in medical practice. The capability of the algorithm is demonstrated on a medical data set of a human hand (post-mortem) acquired under clinical conditions using a pre-clinical TXLI prototype. It is shown that the algorithm reliably suppresses moire artifacts, preserves image contrast, does not blur anatomical structures or prevent quantitative imaging, and is executable on low-dose data sets. In addition, the algorithm runs autonomously without the need of interaction or rework of the final results. In conclusion, the proposed reconstruction algorithm facilitates the use of TLXI in clinical practice and allows the exploitation of the method's full diagnostic potential in future medical applications.
机译:Talbot-Lau X射线成像(TLXI)是一种创新和有希望的成像技术,提供有关物体的X射线衰减,散射和折射特征的信息。然而,该方法易于振动和系统组分不断的影响,这在临床和工业实践中是不可避免的。这些影响挑衅光栅位移并因此在所获取的原始数据中的错误,这导致重建图像中的Moire伪像。我们开发了一种增强的重建算法,其能够通过调整光栅位置来补偿这些误差,从而抑制莫尔伪影的发生。在医疗实践中的未来应用方面已经开发了该算法。在使用前临床条件下临床条件下临床条件下获得的人手(后验验)的医疗数据集上证明了该算法的能力。结果表明,该算法可靠地抑制Moire伪影,保留图像对比度,不会模糊解剖结构或防止定量成像,并且在低剂量数据集上可执行。此外,该算法自主运行,而无需进行最终结果的交互或返回。总之,所提出的重建算法有助于在临床实践中使用TLXI,并允许利用该方法在未来的医学应用中的全面诊断潜力。

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