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Development of private cloud storage for medical image research data

机译:医学图像研究数据私有云存储的开发

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Medical imaging research deals with large, heterogeneous and fragmented amounts of medical images. Such challenges lead to the need for secure, federated and functional medical image storage within this research community. With limited IT professional and research fund, the community is better provided with an outsourcing arrangement. Cloud computing promises lower cost, high scalability and availability which can be a natural solution such problems in long-term medical image archive. This paper presents a private cloud storage design and prototype development within an organization to solve such issues. Leveraging on the ability of cloud computing is shown meet to the system requirements. The prototype is implemented on OwnCloud cloud storage framework. The complete functionality of OwnCloud made it an ideal platform to develop and deploy this kind of cloud-based system. OwnCloud can keep images in different file formats and share such images to other researchers in simple way.
机译:医学成像研究涉及大型,异构和碎片的医学图像。此类挑战导致该研究界内的安全,联合和功能性医学图像存储。由于IT专业和研究基金有限,社区更好地提供了外包安排。云计算承诺降低成本,高可扩展性和可用性,这可能是长期医学图像存档中的自然解决问题。本文介绍了组织内的私有云存储设计和原型开发,以解决此类问题。利用云计算能力显示出符合系统要求。原型在OveCloud云存储框架上实现。 OwnCloud的完整功能使其成为开发和部署这种基于云系统的理想平台。 OwnCloud可以以不同的文件格式保存图像,并以简单的方式与其他研究人员分享此类图像。

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