An Intelligent Cloud Storage Gateway for Medical Imaging.
Historically, medical imaging repositories have been supported by indoor infrastructures. However, the amount of diagnostic imaging procedures has continuously increased over the last decades, imposing several challenges associated with the storage volume, data redundancy and availability. Cloud pla...
| Publicado en: | Journal of Medical Systems Vol. 41; no. 9; pp. 1 - 11 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Sep2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=125068550&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 125068550 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Sep2017 vid: 41 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 125068550 125068550 125068550 10.1007/s10916-017-0790-8 125068550 ppf: 1 ppct: 10 formats: fmt: @attributes: type: P tig: atl: An Intelligent Cloud Storage Gateway for Medical Imaging. aug: au: Viana-Ferreira, Carlos Guerra, António Silva, João F. Matos, Sérgio Costa, Carlos affil: Departamento de Electronica Telecomunicacoes e Informatica Aveiro , Universidade de Aveiro , Aveiro Portugal sug: subj: Cloud Computing Diagnostic Imaging Methods Information Storage Intelligence Quality Improvement Internet Software Data Collection Access to Information Learning Medicine Technology Funding Source ab: Historically, medical imaging repositories have been supported by indoor infrastructures. However, the amount of diagnostic imaging procedures has continuously increased over the last decades, imposing several challenges associated with the storage volume, data redundancy and availability. Cloud platforms are focused on delivering hardware and software services over the Internet, becoming an appealing solution for repository outsourcing. Although this option may bring financial and technological benefits, it also presents new challenges. In medical imaging scenarios, communication latency is a critical issue that still hinders the adoption of this paradigm. This paper proposes an intelligent Cloud storage gateway that optimizes data access times. This is achieved through a new cache architecture that combines static rules and pattern recognition for eviction and prefetching. The evaluation results, obtained from experiments over a real-world dataset, show that cache hit ratios can reach around 80%, leading to reductions of image retrieval times by over 60%. The combined use of eviction and prefetching policies proposed can significantly reduce communication latency, even when using a small cache in comparison to the total size of the repository. Apart from the performance gains, the proposed system is capable of adjusting to specific workflows of different institutions. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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