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用于在线相衬X射线成像的相位恢复方法及通过正则化进行去噪

Phase retrieval method for in-line phase contrast x-ray imaging and denoising by regularization.

作者信息

Lee Ping-Chang

出版信息

Opt Express. 2015 Apr 20;23(8):10668-79. doi: 10.1364/OE.23.010668.

Abstract

Phase contrast X-ray imaging is increasingly popular in the past decade. In order to acquire phase contrast X-ray images, different types of imaging mechanisms have been proposed. Among them, in-line phase contrast X-ray imaging shows the highest potential because of its simplicity. In the study of in-line phase contrast imaging, based on different physical assumptions, many non-iterative phase retrieval methods, such as Bronnikov method, modified Bronnikov method, phase-attenuation duality (PAD) method, single-material method, and two-material method have been proposed. The main step of the non-iterative methods is a filtering process, thus different methods involve different filter design. In this paper we showed that every filter applied in the methods listed above is indeed the minimizer of a L(2)-norm regularization problem. In addition, two methods were proposed to overcome the over smoothing problem owing to the nature of L(2)-norm regularization.

摘要

在过去十年中,相衬X射线成像越来越受欢迎。为了获取相衬X射线图像,人们提出了不同类型的成像机制。其中,同轴相衬X射线成像因其简单性而显示出最高的潜力。在同轴相衬成像的研究中,基于不同的物理假设,人们提出了许多非迭代相位恢复方法,如布朗尼科夫方法、改进的布朗尼科夫方法、相位-衰减对偶(PAD)方法、单材料方法和双材料方法。非迭代方法的主要步骤是滤波过程,因此不同的方法涉及不同的滤波器设计。在本文中,我们表明上述方法中应用的每个滤波器实际上都是一个L(2)范数正则化问题的极小化器。此外,还提出了两种方法来克服由于L(2)范数正则化的性质而导致的过度平滑问题。

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