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Phys Med Biol. 2012 Nov 21;57(22):7459-79. doi: 10.1088/0031-9155/57/22/7459. Epub 2012 Oct 24.

Application of Fourier-wavelet regularized deconvolution for improving image quality of free space propagation x-ray phase contrast imaging.

Author information

1
School of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, People's Republic of China. zhouzhongxing@tju.edu.cn

Abstract

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.

PMID:
23093444
DOI:
10.1088/0031-9155/57/22/7459
[Indexed for MEDLINE]

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