IMAGE PROCESSING & ANALYSIS OF HUMAN PREFRONTAL CORTEX W/ FMRI

该项目建议在 匹兹堡超级计算中心将帮助研究 人类前额叶皮质(PFC)的信息组织。这 将通过对大脑皮质图像的处理和分析来完成 使用功能磁共振成像获得的激活 (功能磁共振成像)。有三个计算密集型的初级阶段。 此处理：从原始图像重建图像 傅立叶空间，图像集合的排列，以及统计 对结果集进行分析。的并行体系结构 将利用超星系团II来缩短总体分析时间。一个 使用并行虚拟机的主/从代码体系结构 用于消息传递的库将在此环境中执行以 完成这些处理阶段。此外，我们要求 在克雷T3D上为同样的工作提供的启动拨款。

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.