Chung M K, Worsley K J, Paus T, Cherif C, Collins D L, Giedd J N, Rapoport J L, Evans A C
Department of Mathematics and Statistics, McGill University, Montréal, Québec, Canada.
Neuroimage. 2001 Sep;14(3):595-606. doi: 10.1006/nimg.2001.0862.
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.
我们提出了一个统一的统计框架，用于使用将受试者大脑配准到图谱大脑所需的非线性变形产生的三维位移矢量场来分析随时间变化的脑形态。这种统一源于一个用于结构变化的单一模型，而非两个单独的模型，一个用于位移，一个用于体积变化。使用位移速度场而非位移本身来建立一个线性模型，以解释时间变化。通过引入变形的雅可比行列式变化率，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。我们已将此方法应用于检测一组儿童和青少年的形态变化区域。利用在不同时间间隔获取的28名儿童和青少年的结构磁共振图像，我们展示了该方法的工作原理。
