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Spline based iterative phase retrieval algorithm for X-ray differential phase contrast radiography

机译:基于样条的迭代相位反演X射线微分相衬射线照相

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摘要

Differential phase contrast imaging using grating interferometer is a promising alternative to conventional X-ray radiographic methods. It provides the absorption, differential phase and scattering information of the underlying sample simultaneously. Phase retrieval from the differential phase signal is an essential problem for quantitative analysis in medical imaging. In this paper, we formalize the phase retrieval as a regularized inverse problem, and propose a novel discretization scheme for the derivative operator based on B-spline calculus. The inverse problem is then solved by a constrained regularized weighted-norm algorithm (CRWN) which adopts the properties of B-spline and ensures a fast implementation. The method is evaluated with a tomographic dataset and differential phase contrast mammography data. We demonstrate that the proposed method is able to produce phase image with enhanced and higher soft tissue contrast compared to conventional absorption-based approach, which can potentially provide useful information to mammographic investigations.
机译:使用光栅干涉仪的差分相衬成像是常规X射线射线照相方法的有希望的替代方法。它同时提供了基础样品的吸收,微分相和散射信息。从差分相位信号进行相位检索是医学成像中定量分析的基本问题。在本文中,我们将相位检索形式化为一个正规化的反问题,并提出了一种基于B样条演算的微分算子离散化方案。然后通过采用B样条的属性并确保快速实现的约束正则加权范数算法(CRWN)解决反问题。该方法用层析X射线摄影数据集和微分相衬X线摄影X射线摄影数据进行评估。我们证明,与传统的基于吸收的方法相比,所提出的方法能够产生具有增强和更高的软组织对比度的相位图像,这可能为乳腺X线摄影研究提供有用的信息。

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