COMPUTATIONAL METHODS FOR ANALYSIS OF NEUROIMAGING DATASETS

神经影像数据集分析的计算方法

• 批准号: 6220995
• 负责人: NIGEL H GODDARD
• 金额: $ 0.13万
• 依托单位: MELLON PITTS CORPORATION (MPC CORP)
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-08-01 至 2000-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6220995
• 关键词: bioimaging /biomedical imaging; biomedical resource; cognition; female; health care; human subject; magnetic resonance imaging; male; mental disorders; nervous system; psychology; statistics /biometry; technology /technique

This project proposes the use of the Supercluster II at the Pittsburgh Supercomputing Center to aid in the study of the organization of information in human prefrontal cortex (PFC). This will be done through the processing and analysis of images of cortical activation acquired using functional magnetic resonance imaging (fMRI). There are three computationally intensive primary stages in this processing: the reconstruction of the images from their native Fourier space, the alignment of sets of images, and the statistical analysis of the resulting sets. The parallel architecture of the Supercluster II will be exploited to lower overall analysis time. A master/slave code architecture using the Parallel Virtual Machine library for message passing will be executed in this environment to accomplish these stages of processing. In addition, we are requesting a starter grant on the Cray T3D for this same work.

该项目提出了在 匹兹堡超级计算中心，以帮助研究 人类前额叶皮层（PFC）中的信息组织。 这 将通过处理和分析皮质图像来完成 使用功能磁共振成像获得的激活 （fMRI）。 有三个计算密集的初级阶段 此处理：从其本地的图像重建 傅立叶空间，一组图像的对齐和统计 分析结果集。 平行架构 超集群II将被利用为降低总体分析时间。 一个 使用并行虚拟机使用主/从代码架构 在此环境中将执行消息传递的库 完成这些处理阶段。 此外，我们要求 同一工作的Cray T3D上的入门赠款。