ITR/IM: Novel Indexing and Retrieval of Dynamic Brain Images

ITR/IM：动态大脑图像的新颖索引和检索

• 批准号: 0205178
• 负责人: Paul Kantor
• 金额: --
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-08-15 至 2008-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0205178&HistoricalAwards=false
• 关键词: ITR; IM; Novel; Indexing; Retrieval

EIA-0205178Paul KantorRutgers UniversityNovel Modeling of Dynamic Brain Images for Indexing and RetrievalThe proposed research will develop new techniques for representation, organization and retrieval of dynamic brain images. High resolution brain imaging facilities at two sites will conduct targeted experiments to develop image sequences supporting the research. Multiple techniques will be used to provide higher time resolution than the native fMRI format. Images will be archived with web access for the research team, and for other teams elsewhere around the world. The research will develop novel models of episodes of brain activity and effective schemes for indexing and retrieving those episodes. A practical research goal of the project is to support a new kind of "Query by Example" access to archives of space-time brain images, usable by clinicians and researchers for research and diagnosis. The project also contributes to clinical applications of cognitive science, to the advance of scientific knowledge, and to scientific education, at the undergraduate, graduate and post-graduate levels. The Rutgers-Princeton project is a collaboration among cognitive scientists, computer scientists and engineers, information scientists, applied mathematicians, statisticians, and cognitive neuroscientists, with guidance from an advisory committee of clinicians and radiologists.The algorithms developed will better approximate judgments that trained humans make when scanning an array of stored images for ones "similar to" a given image, that is, "Query by Example". This project will help to make neuro-imaging analysis tools available to the clinical and industrial investigators who are best positioned to adapt new methods to applied domains.

EIA-0205178 Paul KantorRutgers大学用于索引和检索的动态脑图像的新颖建模所提出的研究将开发用于动态脑图像的表示、组织和检索的新技术。 两个地点的高分辨率脑成像设施将进行有针对性的实验，以开发支持研究的图像序列。 将使用多种技术来提供比原生fMRI格式更高的时间分辨率。 图像将通过网络访问存档，供研究团队和世界其他地方的其他团队使用。这项研究将开发出大脑活动片段的新模型，以及索引和检索这些片段的有效方案。该项目的一个实际研究目标是支持一种新的“按实例查询”访问时空脑图像档案，可供临床医生和研究人员用于研究和诊断。该项目还有助于认知科学的临床应用，科学知识的进步，科学教育，在本科生，研究生和研究生水平。罗格斯大学-普林斯顿大学的项目是认知科学家、计算机科学家和工程师、信息科学家、应用数学家、统计学家和认知神经科学家之间的合作，并得到了临床医生和放射科医生咨询委员会的指导。开发的算法将更好地近似受过训练的人类在扫描一系列存储图像时做出的判断，即，“以实例为例”。该项目将有助于使神经成像分析工具提供给临床和工业调查人员，他们最适合将新方法应用于应用领域。