Implicit reference-based group-wise image registration and its application to structural and functional MRI.
Implicit reference-based group-wise image registration and its application to structural and functional MRI.
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DOI：
10.1016/j.neuroimage.2009.04.024
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发表时间：
2009-10-01
期刊：
影响因子：
5.7
通讯作者：
Yang Y
中科院分区：
文献类型：
--
作者：
Geng X;Christensen GE;Gu H;Ross TJ;Yang Y
在这项研究中，隐式参考组(IRG)配准与小变形，线弹性模型被用来联合估计一组MRI图像之间的对应关系。对配准算法和分组配准算法在结构和功能MRI数据的空间归一化中的性能进行了评估。传统的空间归一化是通过组到参考(G2R)配准来完成的，其中一组图像与参考图像成对配准。由于与选择参考图像相关的偏差，G2R配准受到限制。相反，隐式参考组(IRG)配准通过将图像联合配准到对应于组平均的隐式参考来估计图像组之间的对应关系。隐式参考在IRG配准期间被估计，消除了与选择特定参考图像相关联的偏差。配准性能使用来自非刚性图像配准评估项目(NIREP)的分段T1加权磁共振图像、DTI和fMRI图像进行评估。隐式参考对配准(IRP)是两幅图像的IRG配准的一种特殊情况，对于使用相同的小变形、线弹性配准模型的成对配准而言，IRP配准比IRG配准产生更好的相对重叠。然而，IRP-G2R配准被证明具有显著的传递性错误，即由不同的成对转换定义的对应之间的显著不一致。相反，与IRP-G2R相比，IRG配准在组内图像之间产生一致的对应关系，代价是成对RO精度略有降低。与使用相同弹性配准模型的G2R方法相比，DTI分数各向异性(FA)图的IRG空间归一化具有更小的FA方差。对具有感觉运动和视觉任务的fMRI数据集的分析表明，平均而言，与G2R注册相比，IRG注册增加了大脑激活的统计可检测性。
In this study, an implicit reference group-wise (IRG) registration with a small deformation, linear elastic model was used to jointly estimate correspondences between a set of MRI images. The performance of pair-wise and group-wise registration algorithms was evaluated for spatial normalization of structural and functional MRI data. Traditional spatial normalization is accomplished by group-to-reference (G2R) registration in which a group of images are registered pair-wise to a reference image. G2R registration is limited due to bias associated with selecting a reference image. In contrast, implicit reference group-wise (IRG) registration estimates correspondences between a group of images by jointly registering the images to an implicit reference corresponding to the group average. The implicit reference is estimated during IRG registration eliminating the bias associated with selecting a specific reference image. Registration performance was evaluated using segmented T1-weighted magnetic resonance images from the Nonrigid Image Registration Evaluation Project (NIREP), DTI and fMRI images. Implicit reference pair-wise (IRP) registration—a special case of IRG registration for two images—is shown to produce better relative overlap than IRG for pair-wise registration using the same small deformation, linear elastic registration model. However, IRP-G2R registration is shown to have significant transitivity error i.e., significant inconsistencies between correspondences defined by different pair-wise transformations. In contrast, IRG registration produces consistent correspondence between images in a group at the cost of slightly reduced pair-wise RO accuracy compared to IRP-G2R. IRG spatial normalization of the fractional anisotropy (FA) maps of DTI is shown to have smaller FA variance compared with G2R methods using the same elastic registration model. Analyses of fMRI data sets with sensorimotor and visual tasks show that IRG registration, on average, increases the statistical detectability of brain activation compared to G2R registration.
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DOI：
10.1073/pnas.0503892102
发表时间：
2005-07-05
影响因子：
11.1
作者：
Miller, MI;Beg, MF;Stark, C
通讯作者：
Stark, C
影响因子：
10.6
作者：
Christensen, GE;Joshi, SC;Miller, MI
通讯作者：
Miller, MI
影响因子：
2.8
作者：
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通讯作者：
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DOI：
10.1016/j.jmr.2011.09.022
发表时间：
1996-06-01
期刊：
JOURNAL OF MAGNETIC RESONANCE SERIES B
影响因子：
--
作者：
Basser, PJ;Pierpaoli, C
通讯作者：
Pierpaoli, C
影响因子：
10.6
作者：
Christensen, GE;Johnson, HJ
通讯作者：
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