Application of Fourier-wavelet regularized deconvolution for improving image quality of free space propagation x-ray phase contrast imaging
Application of Fourier-wavelet regularized deconvolution for improving image quality of free space propagation x-ray phase contrast imaging
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DOI：
10.1088/0031-9155/57/22/7459
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发表时间：
2012-11
影响因子：
3.5
通讯作者：
Zhong-xing Zhou;F. Gao;Huijuan Zhao;Lixin Zhang
中科院分区：
文献类型：
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作者：
Zhong-xing Zhou;F. Gao;Huijuan Zhao;Lixin Zhang
新的不使用同步辐射的X射线相衬成像技术面临着一个共同的问题，即有限的源尺寸和有限的空间分辨率的负面影响。这些负面影响淹没了精细的相位对比条纹，使它们几乎无法被检测到。为了缓解这一问题，需要对模糊的X射线相衬图像进行反褶积处理。在这项研究中，三种不同的反卷积技术，包括维纳滤波、Tikhonov正则化和傅立叶-小波正则化反卷积(正向)被应用于模拟和实验的简单几何模体的自由空间传播X射线相衬图像。从相位对比度改善和信噪比两个方面对这些算法进行了评估。结果表明，在上述方法中，正演算法最适合于相衬图像的复原，它能有效地恢复相衬条纹中丢失的信息，同时降低傅立叶正则化过程中的放大噪声。
New x-ray phase contrast imaging techniques without using synchrotron radiation confront a common problem from the negative effects of finite source size and limited spatial resolution. These negative effects swamp the fine phase contrast fringes and make them almost undetectable. In order to alleviate this problem, deconvolution procedures should be applied to the blurred x-ray phase contrast images. In this study, three different deconvolution techniques, including Wiener filtering, Tikhonov regularization and Fourier-wavelet regularized deconvolution (ForWaRD), were applied to the simulated and experimental free space propagation x-ray phase contrast images of simple geometric phantoms. These algorithms were evaluated in terms of phase contrast improvement and signal-to-noise ratio. The results demonstrate that the ForWaRD algorithm is most appropriate for phase contrast image restoration among above-mentioned methods; it can effectively restore the lost information of phase contrast fringes while reduce the amplified noise during Fourier regularization.