SPATIALLY ORIENTED DATABASE FOR DIGITAL BRAIN IMAGES

描述(改编自申请者摘要)：总体目标 该项目是概念开发和原型实施 支持存档和统计的数据库方法 对大量和类型的脑图像进行调查。具体的 这项研究的目的是：1)开发一个形态因子图像 支持改进的大脑比较的表示(MFIR)系统 图像，2)开发支持小说的脑图像数据库(Braid) 对图像数据集进行统计分析；3)对数据库进行评估 通过将其应用于模拟数据和来自3个电流的真实数据 脑成像研究。 MFIR基于图像与标准图像的非线性配准 用于创建形态归一化信号分量的Atlas和 形态变化分量，表示为位移向量 在Atlas坐标中的字段。编织器将实现存储、查询和 对MFIR组件的统计操作。辫子将会是 通过测试其恢复已知相关性的能力进行了验证 模拟数据，并将其应用于分析来自几个 合作进行流行病学研究。这些应用程序将测试 系统识别大脑结构/功能相关性的能力 来自中风和损伤的损伤/缺陷数据及其能力 确定大脑解剖学中随年龄增长的形态变化模式，以及 将这些与功能数据相关联。笔划数据将由 心血管健康研究，NHLBI赞助的项目，即 收集广泛的前瞻性人口统计、功能和脑MRI 超过3600名参与者的数据。受伤数据将由 儿童期额叶损伤的精神病理学研究 收集100名患者的脑部核磁共振和广泛的精神/功能数据 患有创伤性脑损伤的儿童。与衰老相关的形态和 功能变化数据将由巴尔的摩纵向研究提供 On Aging，跟踪180名患者9年的时间，并执行 核磁共振和正电子发射断层扫描，以及神经功能评估，每年 基础。新开发的数据库旨在灵活地使用 可接受的数据类型、健壮的查询机制和 可扩展到其他实验室；从而提供了未来的基础 基础广泛、多机构的大脑信息学网络。

DESCRIPTION (Adapted from applicant's abstract): The overall goal of this project is the conceptual development and prototype implementation of a database methodology that supports the archiving and statistical investigation of large numbers and types of brain images. The specific aims of the study are: 1) to develop a morphologically factored image representation (MFIR) system that allows improved comparison of brain images, 2) to develop a BRAin Image Database (BRAID) that supports novel statistical analyses of image datasets, and 3) to evaluate the database by applying it to both simulated data and to real data from 3 current brain imaging studies. The MFIR is based on a nonlinear registration of an image to a standard Atlas to create a morphologically normalized signal component and a morphological variation component, represented as a displacement vector field in Atlas coordinates. The BRAID will implement storage, query and statistical operations on the MFIR components. The BRAID will be validated by testing its ability to recover known correlations from simulated data, and applied to the analysis of data from several collaborating epidemiological studies. The applications will test the system's ability to identify brain structure/function correlations from lesion/deficit data derived from stroke and injury, and its ability to identify patterns of morphological change in brain anatomy with age, and correlate these with functional data. Stroke data will be provided by the Cardiovascular Health Study, and NHLBI sponsored project that is collecting extensive prospective demographic, functional, and brain MRI data on over 3,600 participants. Injury data will be collected by the Psychopathology of Frontal Lobe Injury in Childhood study, which is collecting brain MRI and extensive psychiatric/functional data on 100 children with traumatic brain injuries. Aging-related morphological and functional change data will be supplied by Baltimore Longitudinal Study on Aging, which follows 180 patients over a 9 year period and performs MRI and PET scans, along with neurofunctional evaluations, on an annual basis. The newly developed database is intended to be flexible in terms of acceptable data types, robust in its querying mechanisms and extendable to other laboratories; thus providing the basis of a future broad based, multi-institutional brain informatics network.