Sequential anisotropic Wiener filtering applied to 3D MRI data
Sequential anisotropic Wiener filtering applied to 3D MRI data
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DOI：
10.1016/j.mri.2006.05.001
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发表时间：
2007-02-01
影响因子：
2.5
通讯作者：
Westin, Carl-Fredrik
中科院分区：
文献类型：
--
作者：
Martin-Fernandez, Marcos;Alberola-Lopez, Carlos;Westin, Carl-Fredrik
我们提出了三种不同的顺序维纳滤波器，即各向同性、定向和各向异性。第一个类似于经典的维纳滤波器，因为它使用各向同性邻域来估计其参数。在这里，我们呈现一个连续的版本。方向维纳滤波器使用有方向的邻域来估计每个体素中存在的结构方向，从而产生一个改进的参数估计器。最后，各向异性维纳滤波器自适应地结合了这两种方法，从而在局部选择合适的方法。几个综合实验显示了滤波器相对于其参数的性能。使用公开可用的磁共振成像（MRI）脑幻影进行均方误差分析，并与其他滤波方法进行比较。此外，给出了对真实MRI数据进行滤波的结果。(c) 2007爱思唯尔公司版权所有。
We present three different sequential Wiener filters, namely, isotropic, orientation and anisotropic. The first one is similar to the classical Wiener filter in the sense that it uses an isotropic neighborhood to estimate its parameters. Here we present a sequential version of it. The orientation Wiener filter uses oriented neighborhoods to estimate the structure orientation present at each voxel, giving rise to a modified estimator of the parameters. Finally, the anisotropic Wiener filter combines both approaches adaptively so that the appropriate approach is locally selected. Several synthetic experiments are presented showing the performance of the filters with respect to their parameters. A mean square error analysis is performed using a publicly available magnetic resonance imaging (MRI) brain phantom and a comparison with other filtering approaches is carried out. In addition, results from filtering real MRI data are presented. (c) 2007 Elsevier Inc. All rights reserved.