摘要
目前核磁共振图像运动伪影的校正方法普遍是基于K空间数据的方法,本文提出一种直接对核磁共振图像进行伪影校正的后处理方法.基于非局部均值总变差去噪的思想设计构造了结构保持的运动伪影校正模型,该模型由非局部均值正则项和块相似保真项构成,正则项可以有效去除运动伪影和噪声的同时保持图像的结构;将各向异性结构张量作为块相似保真项中的权函数,实现在不同区域有不同的扩散方式,在去除图像运动伪影的同时保留图像的细节信息.模型的数值求解采用分裂Bregman方法实现.本文提出的方法充分考虑了图像的几何结构特性,实验结果表明,该方法能有效去除运动伪影并保留有价值的图像细节信息,同时提高了运算速度.
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.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2013年第7期1319-1323,共5页
Acta Electronica Sinica
基金
国家自然科学基金(No.61070120
No.61271435)
北京市自然科学基金(No.4112021)
北京市教委科技面上项目(No.KM2011111417015)
国家973重点基础研究发展规划(No.2010CB731804-1
No.2011CB706901-4)
北京市属高等学校创新团队建设与教师职业发展计划项目(No.CIT&TCD20130513)
关键词
运动伪影
磁共振成像
结构保持
非局部均值
motion artifact
MRI（magnetic resonance imaging）
structure remain
non-local means
