SPATIALLY ORIENTED DATABASE FOR DIGITAL BRAIN IMAGES

数字脑图像的空间导向数据库

• 批准号: 2055735
• 负责人: STANLEY I LETOVSKY
• 金额: $ 28.14万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-09-30 至 1998-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2055735
• 关键词: brain imaging /visualization /scanning; computational neuroscience; computer system design /evaluation; digital imaging; human data; image processing; information system analysis; information systems; neuroanatomy; statistics /biometry

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.

描述（改编自申请人的摘要）：总体目标 该项目是概念开发和原型实施 支持归档和统计的数据库方法 研究大量和类型的大脑图像。具体的 研究的目的是：1）开发形态因素图像 表示（MFIR）系统，可以改进大脑的比较 图像，2）开发支持新颖的 BRAin 图像数据库（BRAID） 图像数据集的统计分析，以及 3) 评估数据库 将其应用于模拟数据和 3 个当前的实际数据 脑成像研究。 MFIR 基于图像与标准的非线性配准 Atlas 创建形态归一化的信号分量和 形态变化分量，表示为位移向量 Atlas 坐标中的字段。 BRAID将实现存储、查询和 MFIR 组件上的统计操作。 BRAID 将是 通过测试其恢复已知相关性的能力进行验证 模拟数据，并应用于来自多个数据的分析 合作流行病学研究。该应用程序将测试 系统识别大脑结构/功能相关性的能力 源自中风和损伤的病变/缺陷数据及其能力 识别大脑解剖结构随年龄变化的模式，以及 将这些与功能数据相关联。中风数据将由 心血管健康研究和 NHLBI 赞助的项目是 收集广泛的前瞻性人口统计、功能和大脑 MRI 超过 3,600 名参与者的数据。伤害数据将由 儿童期额叶损伤的精神病理学研究， 收集 100 名患者的脑部 MRI 和广泛的精神/功能数据 患有脑外伤的儿童。与衰老相关的形态学和 功能变化数据将由巴尔的摩纵向研究提供 on Aging，在 9 年的时间里跟踪了 180 名患者并执行 每年进行 MRI 和 PET 扫描以及神经功能评估 基础。新开发的数据库旨在灵活使用 可接受的数据类型，强大的查询机制和 可扩展到其他实验室；从而为未来奠定基础 基础广泛、多机构的脑信息学网络。