A unified statistical approach to deformation-based morphometry
A unified statistical approach to deformation-based morphometry
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DOI：
10.1006/nimg.2001.0862
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发表时间：
2001-09-01
期刊：
影响因子：
5.7
通讯作者：
Evanst, AC
中科院分区：
文献类型：
--
作者：
Chung, MK;Worsley, KJ;Evanst, AC
我们提出了一个统一的统计框架，用于分析随时间变化的大脑形态，使用3D位移矢量场从非线性变形所需的注册受试者的大脑的图谱大脑。这种统一来自于结构变化的单一模型，而不是两个独立的模型，一个是位移模型，一个是体积变化模型。位移速度场，而不是位移本身被用来建立一个线性模型，以考虑时间的变化。通过引入变形的雅可比变化率，可以计算每个体素处的局部体积变化，并用于测量可能的脑组织生长或损失。我们已经应用这种方法来检测一组儿童和青少年的形态变化的区域。我们使用28名儿童和青少年在不同时间间隔拍摄的结构磁共振图像，演示了这种方法的工作原理。(C)北京：科学出版社.
We present a unified statistical framework for analyzing temporally varying brain morphology using the 3D displacement vector field from a nonlinear deformation required to register a subject's brain to an atlas brain. The unification comes from a single model for structural change, rather than two separate models, one for displacement and one for volume changes. The displacement velocity field rather than the displacement itself is used to set up a linear model to account for temporal variations. By introducing the rate of the Jacobian change of the deformation, the local volume change at each voxel can be computed and used to measure possible brain tissue growth or loss. We have applied this method to detecting regions of a morphological change in a group of children and adolescents. Using structural magnetic resonance images for 28 children and adolescents taken at different time intervals, we demonstrate how this method works. (C) 2001 Academic Press.