Computing Core

计算核心将向所有参与 计划项目。核心的大部分活动都围绕一些执行以下任务的应用程序 医学成像数据集上的多模式、3D、自动配准(或融合)。算法 包括这些注册应用程序通常将使用信息论技术，如 在介绍/计划说明中进行了描述。应用程序本身通常将被实施 在AVS5中，一个数据分析和可视化环境。各个项目将使用已注册的数据集 如个别项目报告中所述。计算核心将提供多项服务 以支持这些新的配准算法并管理它们所在的大型3D图像数据集 运作。核心的主要服务是(1)提供标准化的计算环境 (由集中式计算服务器、公共计算实验室和所有计算机代码组成 系统)和(2)维护集中和协调的检索、存储、归档和管理 成像数据和其他信息。其他服务包括为项目参与者提供培训和 为成功使用核心设施和成功实现以下目标提供必要的咨询 个别项目。 相关性(请参阅说明)： 该核心将为最先进的成像技术的成功开发提供程序计算支持 用于临床癌症患者个体化管理的登记和定量成像技术 心理治疗。

The Computing Core will provide software-, data-, and computing-related services to all participants of the Program Project. The majority of the Core's activities revolve around a number of applications that perform multi-modality, 3D, automated registration (or fusion) on medical imaging datasets. The algorithms comprising these registration applications will, in general, employ information theoretic techniques as described in the Introduction/Program Narrative. The applications themselves will typically be implemented in AVS5, a data analysis and visualization environment. The individual Projects will use registered datasets as described in the individual Project write-ups. A number of services will be offered by the Computing Core to support these new registration algorithms and to manage the large 3D image datasets on which they operates. The principle services of the Core are (1) to provide a standardized computing environment (consisting of centralized compute servers, a common computing lab, and coordinated computer code on all systems) and (2) to maintain centralized and coordinated retrieval, storage, archiving, and management of imaging data and other information. Other services include providing Project participants with training and consulting as needed for successful use of the Core's facilities and for success in carrying out the aims of the individual Projects. RELEVANCE (See instructions): This core will provide program computing support for the successful development of state-of-the-art imaging registration and quantitative imaging techniques for the management of individual clinical cancer patient's therapy.