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An architecture for DICOM medical images storage and retrieval adopting distributed file systems

机译:采用分布式文件系统的DICOM医学图像存储和检索架构

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摘要

Conventional storage and retrieval of information from telemedicine environments is usually based on ordinary database systems. Aspects such as scalability, information distribution, high performance system techniques and operational costs are well known challenges to be circumvented in the research for novel proposals in the field of large-scale telemedicine systems. In this paper we present an architecture that targets high performance levels in storing and retrieving DICOM medical images, adopting a distributed approach in a cluster configuration. Our proposal has two main components: the first element is a data model that is based on image hierarchy, considering the hierarchical data format 5 (HDF5). The second component is a distributed file system, characterised by the parallel virtual file system (PVFS) that was employed in this proposal as a distributed storage data system. As a result, this paper presents a differentiated approach for storage and retrieval of information for a telemedicine environment. Experimental results, utilising the architecture, indicate an enhanced level of performance around 16% in terms of storage process. This number represents an improved performance in comparison to a conventional database system.
机译:从远程医疗环境进行信息的常规存储和检索通常基于普通数据库系统。可伸缩性,信息分发,高性能系统技术和运营成本等方面是在大规模远程医疗系统领域中针对新颖提议的研究中要克服的众所周知的挑战。在本文中,我们提出了一种针对分布式存储和检索DICOM医学图像中高性能水平的体系结构,在集群配置中采用了分布式方法。我们的建议有两个主要组成部分:第一个元素是一个基于图像层次结构的数据模型,其中考虑了层次结构数据格式5(HDF5)。第二个组件是分布式文件系统,其特征在于并行虚拟文件系统(PVFS)在本建议书中用作分布式存储数据系统。因此,本文提出了一种用于远程医疗环境的信息存储和检索的差异化方法。利用该体系结构的实验结果表明,在存储过程方面,性能提高了约16%。与常规数据库系统相比,该数字表示性能有所提高。

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