Enantiomorphic normalization of focally lesioned brains.
Enantiomorphic normalization of focally lesioned brains.
复制标题
DOI：
10.1016/j.neuroimage.2007.10.002
复制
发表时间：
2008-02-01
期刊：
影响因子：
5.7
通讯作者：
Husain M
中科院分区：
文献类型：
--
作者：
Nachev P;Coulthard E;Jäger HR;Kennard C;Husain M
为了在一组患者中提供有关大脑的空间信息，通常有必要在存在局灶性大脑病变的情况下将每个大脑图像带入注册中。执行这种所谓的归一化的方法可能会使病变内的绝对信号失真，尤其是当使用最大注册保真度所需的非线性翘曲时经常使用的方法来最大程度地减少这种失真 - 成本函数掩盖 - 随着病变大小的增加而导出归一化参数时，可以消除病变的区域。在这里，我们提出了一种替代的非线性注册方法 - 使用来自对比半球内未切割的同源区域的信息在病变中纠正信号。使用SPM的非线性归一化例程，我们用正常的大脑图像评估了此技术，从大数据集中选择的病变已我们的结果是人为地使用的。
In order to make spatial inferences about the brain across a group of patients, it is usually necessary to employ some means of bringing each brain image into register with either a group mean image or a standard template. In the presence of focal brain lesions, automated methods for performing such so-called normalization are liable to distortion from the abnormal signal within the lesion, especially when the non-linear warping necessary for maximum registration fidelity is used. The most frequently used method for minimizing this distortion – cost function masking – simply eliminates the lesioned area when deriving the normalization parameters. As lesion size increases, however, the normalization error may be expected to rise steeply since the volume of brain from which the parameters are derived falls with it. Here we propose an alternative non-linear registration method that exploits a natural redundancy in the brain – the enantiomorphic relation between the two hemispheres – to correct the signal within the lesion using information from the undamaged homologous region within the contralesional hemisphere. As lesion size increases, the normalization error should theoretically asymptote to inter-hemispheric differences, which are both quantifiable and much lower than the inter-subject difference. Using SPM’s non-linear normalization routines, we evaluate this technique with images of normal brains to which lesions selected from a large dataset have been artificially applied. Our results show the enantiomorphic method to be vastly superior to cost function masking across subjects, lesion characteristics, and brain voxels. We therefore propose that it should be the method of choice for normalizing images of focally lesioned brains.
登录
查看更多内容
影响因子：
1.3
作者：
COLLINS, DL;NEELIN, P;EVANS, AC
通讯作者：
EVANS, AC
影响因子：
1.3
作者：
WOODS, RP;CHERRY, SR;MAZZIOTTA, JC
通讯作者：
MAZZIOTTA, JC
影响因子：
4.8
作者：
Friston, KJ;Ashburner, J;Frackowiak, RSJ
通讯作者：
Frackowiak, RSJ
影响因子：
11.2
作者：
WEILLER, C;ISENSEE, C;DIENER, HC
通讯作者：
DIENER, HC
影响因子：
56.9
作者：
Tenenbaum, JB;de Silva, V;Langford, JC
通讯作者：
Langford, JC