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Computing Core

Computing Core
计算核心
批准号:
8376473
负责人:
PEYTON H BLAND
金额:
$21.35万
依托单位国家:
美国
项目类别:
财政年份:
2002
资助国家:
美国
项目状态:
未结题
起止时间:
2002-07-15 至

项目摘要

项目成果

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中文摘要
翻译
计算核心将为所有参与者提供软件、数据和计算相关服务。 计划项目。核心的大多数活动都围绕着一些应用程序, 医学成像数据集上的多模态、3D、自动配准(或融合)。的算法 包括这些注册应用的系统通常将采用信息理论技术, 在介绍/程序叙述中描述。应用程序本身通常将被实现 在AVS 5中,一种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。计算核心将提供许多服务 以支持这些新的配准算法,并管理它们所基于的大型3D图像数据集。 操作。Core的主要服务是(1)提供标准化的计算环境 (包括集中式计算服务器、公共计算实验室和所有计算机上的协调计算机代码) 系统)和(2)保持集中和协调的检索,存储,存档和管理 成像数据和其它信息。其他服务包括为项目参与者提供培训, 根据需要进行咨询,以成功使用核心设施,并成功实现 个别项目。 相关性(参见说明): 这个核心将为成功开发最先进的成像技术提供程序计算支持 登记和定量成像技术,用于管理个体临床癌症患者的 疗法
英文摘要
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.
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