Voxel-based morphometry - The methods
Voxel-based morphometry - The methods
复制标题
DOI：
10.1006/nimg.2000.0582
复制
发表时间：
2000-06-01
期刊：
影响因子：
5.7
通讯作者：
Friston, KJ
中科院分区：
文献类型：
--
作者：
Ashburner, J;Friston, KJ
在最简单的情况下，基于体素的形态测量(VBM)涉及两组受试者之间局部灰质浓度的体素比较。该过程相对简单，涉及将研究中所有受试者的高分辨率图像空间归一化到相同的立体定向空间。然后从空间归一化图像中分割灰质，并对灰质段进行平滑。执行体素参数统计测试，比较来自两组的平滑灰质图像。利用高斯随机场理论对多次比较进行了修正。本文描述了VBM中涉及的步骤，重点是从含有非均匀伪影的MR图像中分割出灰质。我们对支撑该方法的假设进行了评估，包括分段的准确性和关于数据统计分布的假设。(C)2000年学术出版社。
At its simplest, voxel-based morphometry (VBM) involves a voxel-wise comparison of the local concentration of gray matter between two groups of subjects. The procedure is relatively straightforward and involves spatially normalizing high-resolution images from all the subjects in the study into the same stereotactic space. This is followed by segmenting the gray matter from the spatially normalized images and smoothing the gray-matter segments. Voxel-wise parametric statistical tests which compare the smoothed gray-matter images from the two groups are performed. Corrections for multiple comparisons are made using the theory of Gaussian random fields. This paper describes the steps involved in VBM, with particular emphasis on segmenting gray matter from MR images with nonuniformity artifact. We provide evaluations of the assumptions that underpin the method, including the accuracy of the segmentation and the assumptions made about the statistical distribution of the data. (C) 2000 Academic Press.