Rex David E, Ma Jeffrey Q, Toga Arthur W
Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095-1769, USA.
Neuroimage. 2003 Jul;19(3):1033-48. doi: 10.1016/s1053-8119(03)00185-x.
The analysis of raw data in neuroimaging has become a computationally entrenched process with many intricate steps run on increasingly larger datasets. Many software packages exist that provide either complete analyses or specific steps in an analysis. These packages often possess diverse input and output requirements, utilize different file formats, run in particular environments, and have limited abilities with certain types of data. The combination of these packages to achieve more sensitive and accurate results has become a common tactic in brain mapping studies but requires much work to ensure valid interoperation between programs. The handling, organization, and storage of intermediate data can prove difficult as well. The LONI Pipeline Processing Environment is a simple, efficient, and distributed computing solution to these problems enabling software inclusion from different laboratories in different environments. It is used here to derive a T1-weighted MRI atlas of the human brain from 452 normal young adult subjects with fully automated processing. The LONI Pipeline Processing Environment's parallel processing efficiency using an integrated client/server dataflow model was 80.9% when running the atlas generation pipeline from a PC client (Acer TravelMate 340T) on 48 dedicated server processors (Silicon Graphics Inc. Origin 3000). The environment was 97.5% efficient when the same analysis was run on eight dedicated processors.
神经影像原始数据的分析已成为一个计算过程复杂的过程，其中许多复杂步骤要在越来越大的数据集上运行。有许多软件包可提供完整分析或分析中的特定步骤。这些软件包通常有不同的输入和输出要求，使用不同的文件格式，在特定环境中运行，并且对某些类型的数据处理能力有限。将这些软件包结合起来以获得更敏感和准确的结果已成为脑图谱研究中的常见策略，但需要做很多工作来确保程序之间的有效互操作。中间数据的处理、组织和存储也可能很困难。LONI管道处理环境是针对这些问题的一种简单、高效且分布式的计算解决方案，能够包含来自不同实验室在不同环境中的软件。在此，它被用于通过全自动处理从452名正常年轻成人受试者中得出人脑的T1加权磁共振成像图谱。当从个人电脑客户端（宏碁TravelMate 340T）在48个专用服务器处理器（硅图公司的Origin 3000）上运行图谱生成管道时，使用集成客户端/服务器数据流模型的LONI管道处理环境的并行处理效率为80.9%。当在八个专用处理器上运行相同分析时，该环境的效率为97.5%。
