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Optimization of Hardware and Image Processing for Improved Image Quality in X-Ray Phase Contrast Imaging

机译:X射线相位对比度成像改进的图像质量的硬件和图像处理优化

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High-quality image products in an X-Ray Phase Contrast Imaging (XPCI) system can be produced with propersystem hardware and data acquisition. However, it may be possible to further increase the quality of the imageproducts by addressing subtleties and imperfections in both hardware and the data acquisition process. Notingthat addressing these issues entirely in hardware and data acquisition may not be practical, a more prudentapproach is to determine the balance of how the apparatus may reasonably be improved and what can beaccomplished with image post-processing techniques.Given a proper signal model for XPCI data, image processing techniques can be developed to compensate formany of the image quality degradations associated with higher-order hardware and data acquisition imperfections.However, processing techniques also have limitations and cannot entirely compensate for sub-par hardware orinaccurate data acquisition practices. Understanding system and image processing technique limitations enablesbalancing between hardware, data acquisition, and image post-processing.In this paper, we present some of the higher-order image degradation effects we have found associated withsubtle imperfections in both hardware and data acquisition. We also discuss and demonstrate how a combinationof hardware, data acquisition processes, and image processing techniques can increase the quality of XPCI imageproducts. Finally, we assess the requirements for high-quality XPCI images and propose reasonable systemhardware modifications and the limits of certain image processing techniques.
机译:X射线相位对比度成像(XPCI)系统中的高质量图像产品可以用适当生产系统硬件和数据采集。但是,可以进一步提高图像的质量产品通过解决硬件和数据采集过程中的微妙性和缺陷。注意完全在硬件和数据采集中解决这些问题可能并不实用,更谨慎方法是确定如何合理地改善设备的平衡以及可以是什么用图像后处理技术完成。给定XPCI数据的适当信号模型时,可以开发图像处理技术以补偿许多图像质量降低与高阶硬件和数据采集缺陷相关联。但是,处理技术也具有限制,不能完全补偿子PAR硬件或不准确的数据采集实践。了解系统和图像处理技术限制启用在硬件,数据采集和图像后处理之间平衡。在本文中,我们展示了我们发现与之相关的一些高阶图像的劣化效果硬件和数据采集中的微妙缺陷。我们还讨论并展示如何组合硬件,数据采集过程和图像处理技术可以提高XPCI图像的质量产品。最后,我们评估了高质量XPCI图像的要求,并提出了合理的系统硬件修改和某些图像处理技术的限制。

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