Detection of Drug Effects in Small Groups Using PET

描述（由申请人提供）：本项目的目的是开发优化的图像分析管道，用于基于功能性神经成像，特别是基于正电子发射断层扫描（PET）的药物评价。将使用检测功效、空间激活模式的再现性和区域功效估计的统计测量来评估药物作用强度。空间参数图像将计算每个预测模型的调查。广泛的预测模型，包括许多新的功能性神经影像学领域，将实施和评估内一个复杂的统计research框架。将根据所取得的结果开发一个网格感知软件包。该软件旨在在Predictek的分布式计算环境中内部运行，为客户提供最先进的优化图像分析服务。还将开发一些最佳性能方法的简化用户友好Java实现（基于项目中进行的评价），以分发给希望自己进行高级分析的最终用户。拟议中的项目预计将产生重大的研究成果，除了增强Predictek的神经图像分析业务。

DESCRIPTION (provided by applicant): The objective of this project is to develop optimized image analysis pipelines for pharmaceutical evaluation based on functional neuroimaging, in particular based on positron emission tomography (PET). Strength of drug effect will be assessed using statistical measures of detection power, reproducibility of spatial activation patterns, and regional power estimates. Spatial parametric images will be computed for each of the prediction models investigated. A wide range of predictive models, including many that are new to the functional neuroimaging field, will be implemented and evaluated within a sophisticated statistical resampling framework. A grid-aware software package will be developed based on the results obtained. This software is intended to be run in-house in a distributed computing environment at Predictek to provide state-of-the-art optimized image analysis services to its customers. A scaled-down user-friendly Java implementation of some of the best- performing methods (based on evaluations performed in the project) will also be developed for distribution to end users wishing to perform advanced analyses themselves. The proposed project is expected to yield significant research findings, in addition to augmenting Predictek's neuroimage analysis business.