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Creating virtual storages and searching DICOM medical images through a grid middleware based in OGSA

机译:通过基于OGSA的网格中间件创建虚拟存储和搜索DICOM医学图像

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Most medical imaging departments of hospital and primary care services in developed countries have migrated in the last years to full digital storing, management and processing. The availability of clinical medical images is larger than ever, but the exploitation of its intrinsic knowledge is poor. Hospitals, clinics and primary care centres store the information locally with a poor degree of interoperability. Although current archiving, flow-control and processing means and protocols of PACS are successful for reporting and patient follow-up, the archiving systems are not designed to exchange interesting cases, to search by medical content or to aggregate epidemiological information. This article presents a Middleware based on Grid Technologies that addresses the problem of sharing, transferring and processing DICOM medical images in a distributed environment. It tackles the problem of incompatibilities by providing a virtual storage that builds-up virtual repositories integrating different individual and incompatible storages providing global searching, progressive transmission, automatic encryption and pseudo-anonimisation and a hook to remote processing services. Users from a virtual organisation can share the cases that arc relevant for their topic of research, epidemiological study or even deeper analysis of a complex individual case. The article describes the architecture, the technologies used, the problems faced and the solutions proposed, and the results in the form of a brief performance analysis and several snapshots.
机译:发达国家的大多数医院医院和初级保健服务部门在过去几年中迁移到全数字储存,管理和加工。临床医学图像的可用性比以往任何时候都大,但对其内在知识的利用是穷人。医院,诊所和初级保险中心在本地存储互操作性差的信息。虽然PAC的当前归档,流量控制和处理方式和PACS的协议是成功的报告和患者的跟进,但归档系统并非设计用于交换有趣的情况,以通过医疗内容搜索或聚合流行病学信息。本文介绍了基于网格技术的中间件,该技术解决了分布式环境中的共享,转移和处理DICOM医学图像的问题。它通过提供虚拟存储来解决不兼容的问题,该虚拟存储构建虚拟存储库,该虚拟存储库集成了不同的单个和不兼容的存储器,提供全局搜索,逐行传输,自动加密和伪和谐和挂钩到远程处理服务。来自虚拟组织的用户可以分享与其研究,流行病学研究或对复杂的单个案件更深入分析相关的案例。本文介绍了架构,所使用的技术,面临的问题和提出的解决方案,以及结果的简要绩效分析的形式和几种快照。

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