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一种用于微分X射线相衬成像中全变差正则化相位恢复的傅里叶域算法。

A Fourier-domain algorithm for total-variation regularized phase retrieval in differential X-ray phase contrast imaging.

作者信息

Sperl Jonathan I, Bequé Dirk, Kudielka Guido P, Mahdi Kinan, Edic Peter M, Cozzini Cristina

出版信息

Opt Express. 2014 Jan 13;22(1):450-62. doi: 10.1364/OE.22.000450.

Abstract

Phase retrieval in differential X-ray phase contrast imaging involves a one dimensional integration step. In the presence of noise, standard integration methods result in image blurring and streak artifacts. This work proposes a regularized integration method which takes the availability of two dimensional data as well as the integration-specific frequency-dependent noise amplification into account. In more detail, a Fourier-domain algorithm is developed comprising a frequency-dependent minimization of the total variation orthogonal to the direction of integration. For both simulated and experimental data, the novel method yielded strong artefact reduction without increased blurring superior to the results obtained by standard integration methods or regularization techniques in the image domain.

摘要

差分X射线相衬成像中的相位恢复涉及一维积分步骤。在存在噪声的情况下,标准积分方法会导致图像模糊和条纹伪影。本文提出了一种正则化积分方法,该方法考虑了二维数据的可用性以及积分特定的频率相关噪声放大。更详细地说,开发了一种傅里叶域算法,该算法包括与积分方向正交的总变差的频率相关最小化。对于模拟数据和实验数据,该新方法在不增加模糊的情况下显著减少了伪影,优于标准积分方法或图像域正则化技术所获得的结果。

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