MIDG-Emerging grid technologies for multi-site preclinical molecular imaging research communities.
MIDG-Emerging grid technologies for multi-site preclinical molecular imaging research communities.
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MIDG-用于多站点临床前分子成像研究社区的新兴网格技术。
DOI：
10.1007/s11548-010-0524-6
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发表时间：
2011
影响因子：
3
通讯作者：
Huang,HK
中科院分区：
文献类型：
--
作者：
Lee,Jasper;Documet,Jorge;Liu,Brent;Park,Ryan;Tank,Archana;Huang,HK
目的分子成像是解剖学中特定分子的可视化和识别，以深入了解代谢途径、组织一致性和溶质转运机制的追踪。本文介绍了分子成像数据网格（MIDG），它利用临床前分子成像中的新兴网格技术来促进临床前分子成像设施及其合作研究机构之间的数据共享和发现，从而加快转化科学研究。支持网格的动物模型成像数据集归档、管理和分发可帮助临床前研究人员远程监控、访问和共享其成像数据，并促进临床前成像设施将已发布的成像数据集作为新研究人员的资源共享。方法分子成像数据网格的系统架构用四层图进行描述。还根据分子成像中心当前使用的成像模式提出了临床前分子成像数据集的数据模型。介绍了 MIDG 系统组件和连接。最后，描述了基于网格的临床前分子成像数据归档、管理和检索的工作流程步骤。结果分子成像数据网格系统的初始性能测试已在 USC IPILab 使用专用 VMware 服务器进行。介绍了系统连接、评估的数据集和初步结果。结果显示了该系统的可行性、局限性和未来研究的方向。结论医学领域的转化和跨学科研究利用动物模型上的分子成像方法，对临床前水平的细胞和分子生物学活动越来越感兴趣。由于不同的成像系统和多个异地研究人员，在临床前分子成像设施中对这些临床前分子成像数据集进行综合归档、管理和分发的任务具有挑战性。分子成像数据网格的设计、实施和初步评估旨在展示用于跨广域网 (WAN) 共享临床前分子成像数据的安全且新颖的数据网格解决方案。
PurposeMolecular imaging is the visualization and identification of specific molecules in anatomy for insight into metabolic pathways, tissue consistency, and tracing of solute transport mechanisms. This paper presents the Molecular Imaging Data Grid (MIDG) which utilizes emerging grid technologies in preclinical molecular imaging to facilitate data sharing and discovery between preclinical molecular imaging facilities and their collaborating investigator institutions to expedite translational sciences research. Grid-enabled archiving, management, and distribution of animal-model imaging datasets help preclinical investigators to monitor, access and share their imaging data remotely, and promote preclinical imaging facilities to share published imaging datasets as resources for new investigators.MethodsThe system architecture of the Molecular Imaging Data Grid is described in a four layer diagram. A data model for preclinical molecular imaging datasets is also presented based on imaging modalities currently used in a molecular imaging center. The MIDG system components and connectivity are presented. And finally, the workflow steps for grid-based archiving, management, and retrieval of preclincial molecular imaging data are described.ResultsInitial performance tests of the Molecular Imaging Data Grid system have been conducted at the USC IPILab using dedicated VMware servers. System connectivity, evaluated datasets, and preliminary results are presented. The results show the system’s feasibility, limitations, direction of future research.ConclusionsTranslational and interdisciplinary research in medicine is increasingly interested in cellular and molecular biology activity at the preclinical levels, utilizing molecular imaging methods on animal models. The task of integrated archiving, management, and distribution of these preclinical molecular imaging datasets at preclinical molecular imaging facilities is challenging due to disparate imaging systems and multiple off-site investigators. A Molecular Imaging Data Grid design, implementation, and initial evaluation is presented to demonstrate the secure and novel data grid solution for sharing preclinical molecular imaging data across the wide-area-network (WAN).