The method of MR images motion artifacts fast suppression based on structure remains

被引：0

作者：

He, Ning ^{[1
]}

Lü, Ke ^{[2
]}

Wang, Yi-Xue ^{[3
]}

机构：

[1] Beijing Union University Beijing Key Laboratory of Information Service Engineering

[2] University of Chinese Academy of Sciences

[3] Shenyang Institute of Engineering, Shenyang

来源：

He, N. (xxthening@buu.edu.cn) | 1600年 / Chinese Institute of Electronics卷 / 41期

关键词：

Motion artifact; MRI (magnetic resonance imaging); Non-local means; Structure remain;

D O I：

10.3969/j.issn.0372-2112.2013.07.012

中图分类号：

学科分类号：

摘要：

The current methods of motion artifact suppression in magnetic resonance imaging (MRI) are generally based on the K-space data. In this paper, an image post-processing method is proposed, which can directly apply to the MR images and correct the motion artifact. We designed a model based on non-local means total variational (TV) method, which consists of the non-local regularization term and patch similarity fidelity term. The regularization term can keep the image structure while correcting the motion artifact. Introduce the anisotropic diffusion structure tensor to the patch similarity fidelity term as its weight function, which can implement different diffusions process in different regions and can remain the details of the image while removing the motion artifact. The numerical scheme uses the split Bregman method. Experiments showed that the motion artifact was effectively reduced and the valuable details of images were remained and the arithmetic speed was improved.

引用

页码：1319 / 1323

页数：4

共 12 条

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