NEUROIMAGING MODELING RESOURCE: VOLUME PARAMETERIZATION

具体目标1.开发提取和可视化的方法 使用从以下方面获得的信息研究大脑形状的差异 基于体积的非线性扭曲算法，如AIR。 具体目标2.制定和验证统计方法，以便 从非线性翘曲算法派生的脑形状描述符 在不同的受试者组之间进行比较。 具体目标3.开发和验证使用Shape的方法 从非线性翘曲算法派生的描述符来表征 随着时间的推移，发育形态的变化。 具体目标4.制定和验证统计框架 比较形态测量学变化的时间动力学 不同组的受试者。 具体目标5.交叉验证和整合所制定的方法 这里介绍了基于曲面参数化的方法(项目1)和 其他可比或兼容的方法。

Specific Aim 1. Develop methods for extracting and visualizing differences in brain shape using information obtained from volume-based nonlinear warping algorithms such as AIR. Specific Aim 2. Develop and validate statistical methods to allow brain shape descriptors derived from nonlinear warping algorithms to be compared across groups of subjects. Specific Aim 3. Develop and validate methods for using shape descriptors derived from nonlinear warping algorithms to characterize developmental morphometric changes over time. Specific Aim 4. Develop and validate a statistical framework for comparing the temporal dynamics of morphometric changes across different groups of subjects. Specific Aim 5. Cross-validate and integrate the methods developed here with methods based on Surface Parameterization (Project 1) and other comparable or compatible approaches.