SPATIALLY ORIENTED DATABASE FOR DIGITAL BRAIN IMAGES

数字脑图像的空间导向数据库

• 批准号: 6168824
• 负责人: Edward H Herskovits
• 金额: $ 26.71万
• 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 2002-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6168824
• 关键词: aging; bioimaging /biomedical imaging; brain imaging /visualization /scanning; brain injury; computational neuroscience; computer system design /evaluation; digital imaging; human data; image processing; information system analysis; information systems; longitudinal human study; magnetic resonance imaging; neuroanatomy; positron emission tomography; statistics /biometry; stroke

DESCRIPTION: (Applicant's Abstract) The overall goal of this project is the development of a digital brain image database (BRAID) that integrates image-processing and visualization capabilities, the statistical analysis of spatial and clinical data, and management of digital brain atlases, all accessible from a common user interface. The integration of these components is critical to BRAID's success in deriving clinically meaningful associations between the structure and function of the human brain. We envision BRAID as a platform for the analysis of image-based clinical trials (IBCT's), three of which we are currently analyzing. Our preliminary results demonstrate the need for efficient automated segmentation of image data for large numbers of subjects, for powerful statistical analysis of these data, and for atlases that reflect the pathophysiology being investigated in a given IBCT. In the IBCT's we are analyzing, cortical and white-matter lesions are central to the structure-function hypotheses being addressed. Toward these ends, we propose three specific aims to extend BRAID's functionality: development of statistical algorithms for automated segmentation of brain lesions, development of Bayesian methods for multivariate atlas-based lesion-deficit analysis, augmented atlas that will include certain white-matter structures in addition to cortical and subcortical structures. These extensions build on the strengths of BRAID's morphologically factored image representation developed in the first phase of this grant. We will test these extensions to BRAID by applying our methods to data sets from the Psychopathology of Frontal Lobe Injury in Childhood (FLIC) study, the Baltimore Longitudinal Study on Aging (BLSA), and the Cardiovascular Health Study (CHS). The BLSA and CHS are large-scale epidemiological image-based clinical trials, the former a 9-year longitudinal study with annual MR and neuropsychiatric data on 180 subjects, the latter an NHLBI sponsored project with extensive demographic, functional, and MR data on over 3,600 participants. The FLIC study is collecting brain MR and extensive neuropsychiatric data on 100 children after traumatic brain injury. In analyzing these data, and data from other IBCT's, BRAID will increase our understanding of the functional organization of the human brain.

描述：（申请人摘要） 这个项目的总体目标是开发一个数字化的大脑图像 集成了图像处理和可视化的数据库（BRAID） 空间和临床数据的统计分析，以及 管理数字大脑地图集，所有这些都可由一个普通用户访问 接口.这些组件的集成对于BRAID的成功至关重要 在推导出结构和 人类大脑的功能。我们设想BRAID作为分析的平台 基于图像的临床试验（IBCT），其中三个我们目前正在 分析。 我们的初步结果表明，需要有效的自动化 分割图像数据的大量科目，为强大的 这些数据的统计分析，并为地图集，反映了 在给定IBCT中研究的病理生理学。在IBCT中， 分析，皮质和白质病变是核心的， 结构-功能假说正在讨论中。为此，我们建议 扩展BRAID功能的三个具体目标： 脑损伤自动分割算法，贝叶斯的发展 基于多变量图谱的损伤缺陷分析方法，增强图谱 这将包括某些白质结构，除了皮质和 皮质下结构这些扩展建立在BRAID的优势之上 在第一阶段开发的形态因子图像表示， 这个grant。 我们将通过将我们的方法应用于数据集来测试BRAID的这些扩展 根据儿童额叶损伤的精神病理学（FLIC）研究， 巴尔的摩老龄化纵向研究（BLSA）和心血管健康 研究（CHS）。BLSA和CHS是基于大规模流行病学图像的 临床试验，前者是一项为期9年的纵向研究，每年有MR， 180名受试者的神经精神病学数据，后者是NHLBI赞助的项目 拥有超过3，600名参与者的广泛人口统计学、功能和MR数据。 FLIC研究正在收集大脑MR和广泛的神经精神病学数据， 100例儿童脑外伤后。在分析这些数据时， 与其他IBCT不同，BRAID将增加我们对功能的理解， 人类大脑的组织。