COMPUTER AIDED DIAGNOSIS OF PATIENTS WITH NEURODEGENERATIVE DISEASE

神经退行性疾病患者的计算机辅助诊断

• 批准号: 8364229
• 负责人: JAMES T. BECKER
• 金额: $ 0.11万
• 依托单位: CARNEGIE-MELLON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-15 至 2013-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8364229
• 关键词: Age; Aging; Alzheimer' s Disease; Biomedical Research; Blinded; Brain; Brain Concussion; Brain imaging; Brain region; Collection; Computer-Assisted Diagnosis; Computing Methodologies; Dementia; Elderly; Funding; Grant; High Performance Computing; Hour; Human; Individual; Magnetic Resonance Imaging; National Center for Research Resources; Neurodegenerative Disorders; Pathologic Processes; Patients; Population; Principal Investigator; Process; Relative (related person); Research; Research Infrastructure; Resolution; Resources; Sampling; Scanning; Source; Time; United States National Institutes of Health; aging brain; base; cost; public health priorities

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Over the next twenty-five years, the proportion of the population over age 65 will increase 76%; therefore understanding both the normal and pathological processes involved in the aging of the human brain is of the highest public health priority. We develop a computational method that provides estimates of the "brain age" of individuals that is based solely on a high resolution Magnetic Resonance Image (MRI) of the brain of the individual, and is blinded to his or her true chronological age. To develop quantitative neuroanatomical markers for dementia, structural MR brain images must be automatically segmented and deformably registered to provide relative volumes for many brain regions as well as other morphometric information. Historically this automatic segmentation and registration has been subject to a lot of variability, but we have developed a pipeline to perform these more reliably. The processing time for a single brain is roughly 1.5 hours on a single core of a quad-core Xeon 2.8Ghz processor. We wish to process several hundred brains. 250 are available from the Pittsburgh Concussion Study, 700 from the Alzheimer Disease Research Center, and other projects have produced large collections of structural scans to be segmented and registered. This start-up grant would allow us to process at least a large fraction of this supply of scans, provide more accurate estimates of processing time, and provide us a good statistical sample of segmentation and registration results to demonstrate the reliability of the pipeline.

该子项目是利用资源的众多研究子项目之一 由 NIH/NCRR 资助的中心拨款提供。子项目的主要支持 并且子项目的主要研究者可能是由其他来源提供的， 包括其他 NIH 来源。 子项目可能列出的总成本 代表子项目使用的中心基础设施的估计数量， NCRR 赠款不直接向子项目或子项目工作人员提供资金。 未来二十五年，人口比例将超过 65岁将增加76%；因此了解正常和 人类大脑衰老的病理过程是 公共卫生的最高优先事项。我们开发了一种计算方法 它提供了对个人“大脑年龄”的估计 仅基于高分辨率磁共振图像（MRI） 个人的大脑，对他或她的真实情况视而不见 实际年龄。开发定量神经解剖学标记 结构性痴呆 MR大脑图像必须自动分割和变形 也被注册来提供许多大脑区域的相对体积 作为其他形态测量信息。 历史上这种自动 分割和注册受到了很多 可变性，但我们已经开发了一个管道来执行这些更多 可靠。 单个大脑的处理时间约为1.5小时 在四核 Xeon 2.8Ghz 处理器的单核上。我们希望 处理数百个大脑。 匹兹堡有 250 份 脑震荡研究，700 来自阿尔茨海默病研究中心，以及 其他项目已经产生了大量的结构扫描 进行分割和注册。 这笔启动资金将使我们能够 至少处理此扫描供应的很大一部分，提供 更准确地估计处理时间，并为我们提供良好的 分割和配准结果的统计样本 证明管道的可靠性。