COMPUTER AIDED DIAGNOSIS OF PATIENTS WITH NEURODEGENERATIVE DISEASE

这个子项目是许多利用资源的研究子项目之一 由NIH/NCRR资助的中心拨款提供。子项目的主要支持 而子项目的主要调查员可能是由其他来源提供的， 包括其它NIH来源。 为子项目列出的总成本可能 代表子项目使用的中心基础设施的估计数量， 而不是由NCRR赠款提供给子项目或子项目工作人员的直接资金。 在接下来的25年里， 65岁将增加76%;因此，了解正常和 人类大脑老化的病理过程是 最高的公共卫生优先事项。我们开发了一种计算方法 它提供了对个体“大脑年龄”的估计， 仅基于高分辨率磁共振图像（MRI）， 人的大脑，并且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物， 结构性痴呆 磁共振脑图像必须自动分割和变形 也可以提供许多大脑区域的相对体积 作为其他形态信息。 从历史上看， 分割和配准已经受到了很多 可变性，但我们已经开发了一个管道来执行这些更多 可靠地。 单个大脑的处理时间大约是1.5小时 四核至强2.8Ghz处理器的单核上。我们希望 处理几百个大脑 250辆可从匹兹堡 脑震荡研究，700人来自阿尔茨海默病研究中心， 其他项目已经产生了大量的结构扫描， 进行分割和注册。 这笔启动资金可以让我们 处理至少大部分的这种扫描供应，提供 更准确的估计处理时间，并为我们提供了一个很好的 分割和配准结果的统计样本， 证明了管道的可靠性。

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.