MULTIMODALITY NEUROIMAGING DATABASE SYSTEM

多模态神经影像数据库系统

• 批准号: 6932193
• 负责人: STEPHEN TC WONG
• 金额: $ 4.37万
• 依托单位: BRIGHAM AND WOMEN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-06-01 至 2005-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6932193
• 关键词: Internet; abstracting; bioimaging /biomedical imaging; brain imaging /visualization /scanning; computer graphics /printing; computer program /software; computer system design /evaluation; data management; epilepsy; health care professional practice; health science research; human data; image processing; information retrieval; information systems; interactive multimedia; magnetic resonance imaging; magnetoencephalography; medical education; multiple sclerosis; nuclear magnetic resonance spectroscopy; positron emission tomography

DESCRIPTION (Taken from application abstract): The past three decades have witnessed a remarkable growth of medical imaging modalities in patient care. Ironically, however, the field of medical imaging is threatened by its own success in that the sheer mass of information available is becoming unmanageable. The long-term objective of this application is to develop the next generation of medical image information systems. This five-year FIRST award project will focus on the design and implementation of a prototype neuroimaging database management system (NI-DBMS) for managing and indexing multimodality brain images, including MRI, PET, MR spectroscopy, and MEG. This new image DBMS intends to support flexible search and browsing of picture archiving and communication systems (PACS) image library, as well as clinical applications in epilepsy and multiple sclerosis. The hypothesis of this research is that different kinds of three-dimensional (3D) brain images and associated clinical data can be modeled, correlated, queried, and analyzed by computers on the World Wide Web (WWW) to aid neurologic education, practice, and research. The specific aims to investigate this hypothesis are: (I) design a new framework for multimodality neuroimage management; (ii) develop tools for extracting structural, functional, and temporal features of different brain images; (iii) investigate new content based search algorithms for epilepsy and multiple sclerosis imaging; (iv) develop a neuroimaging data model to allow access from the Web; and (v) evaluate system performance with well-defined experiments in epilepsy and multiple sclerosis imaging. The neuroimaging DBMS will be built on top of the large image archives in hospitals and will add values to the existing PACS with content-based information management and Web accessibility. The software product developed in this research will be generalizable and extensible so that it can be put into wide use by other medical centers and hospitals. Its open systems architecture will ensure image databases developed by the medical community will be sharable through the ubiquitous Web.

描述（取自应用程序摘要）：过去三十年 目睹了患者护理中医学成像方式的显着增长。 具有讽刺意味的是，医学成像领域受到自己的威胁 成功的成功，可用的大量信息正在变得 难以控制。 该应用的长期目标是开发 下一代医疗图像信息系统。 这个五年的第一 奖项项目将重点介绍原型的设计和实施 用于管理和索引的神经影像学数据库管理系统（NI-DBMS） 多模式的大脑图像，包括MRI，PET，MR Spectrecopicy和Meg。 此新图像DBMS打算支持灵活的搜索和浏览 图片归档和通信系统（PACS）图像库以及 癫痫和多发性硬化症中的临床应用。 这项研究的假设是不同种类的三维 （3D）可以对大脑图像和相关的临床数据进行建模，相关， 在万维网（www）上的计算机进行查询和分析以帮助 神经学教育，实践和研究。 具体目的 调查此假设是：（i）为 多模式神经图像管理； （ii）开发提取工具 不同大脑图像的结构，功能和时间特征； （iii）研究癫痫和基于新的基于内容的搜索算法 多发性硬化成像； （iv）开发神经影像学数据模型以允许 从网络访问； （v）评估系统性能的定义明确 癫痫和多发性硬化成像的实验。 神经影像DBM将建在大型图像档案的顶部 医院，并将以基于内容为基础的PAC为现有PAC增加值 信息管理和网络可访问性。 软件产品 在这项研究中开发的将是可推广和可扩展的，以便 可以被其他医疗中心和医院广泛使用。 它开放 系统体系结构将确保医疗开发的图像数据库 社区将通过无处不在的网络共享。

项目成果

DBMap: a space-conscious data visualization and knowledge discovery framework for biomedical data warehouse.

DBMap：用于生物医学数据仓库的空间意识数据可视化和知​​识发现框架。

• DOI: 10.1109/titb.2004.832550
• 发表时间: 2004
• 期刊: IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society.
• 作者: Zhang,Ming;Zhang,Hong;Tjandra,Donny;Wong,StephenTC
• 通讯作者: Wong,StephenTC

A web-based federated neuroinformatics model for surgical planning and clinical research applications in epilepsy.

用于癫痫手术规划和临床研究应用的基于网络的联合神经信息学模型。

• DOI: 10.1385/ni:2:1:101
• 发表时间: 2004
• 期刊: Neuroinformatics
• 影响因子: 3
• 作者: Cao,Xinhua;Wong,StephenTC;HooJr,KentSoo;Tjandra,Donny;Fu,JC;Lowenstein,DanielH
• 通讯作者: Lowenstein,DanielH