Detection of Drug Effects in Small Groups Using PET

描述(申请人提供)：该项目的目标是基于功能神经成像，特别是基于正电子发射断层扫描(PET)，开发用于药物评价的优化图像分析管道。药物效应的强度将使用探测能力、空间激活模式的再现性和区域能力估计的统计指标进行评估。将为所研究的每个预测模型计算空间参数图像。将在复杂的统计重新抽样框架内实施和评估广泛的预测模型，包括许多新的功能神经成像领域的模型。将根据所获得的结果开发一个网格感知软件包。该软件计划在Predictek的分布式计算环境中内部运行，为其客户提供最先进的优化图像分析服务。还将(根据在项目中进行的评价)开发一些性能最好的方法的缩小版的用户友好的Java实现，以便分发给希望自己进行高级分析的最终用户。除了扩大Predictek的神经图像分析业务外，拟议的项目预计还将产生重要的研究成果。

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.