Using an Open-Source PACS Virtual Machine for a Digital Angiography Unit: Methods and Initial Impressions.

The productivity gains, diagnostic benefit, and enhanced data availability to clinicians enabled by picture archiving and communication systems (PACS) are no longer in doubt. However, commercial PACS offerings are often extremely expensive initially and require ongoing support contracts with vendors...

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Publicado en:Journal of Digital Imaging Vol. 25; no. 1; pp. 81 - 91
Autores principales: Kagadis, George, Alexakos, Christos, Langer, Steve, French, Todd
Formato: pictorial research tables/charts Journal Article
Publicado: Springer Nature Feb2012
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
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        atl: Using an Open-Source PACS Virtual Machine for a Digital Angiography Unit: Methods and Initial Impressions.
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        au:
          Kagadis, George
          Alexakos, Christos
          Langer, Steve
          French, Todd
        affil: Department of Medical Physics, School of Medicine, University of Patras, GR 265 04 Rion Greece
      sug:
        subj:
          Picture Archiving and Communication Systems
          Programming Languages
          Internet
          Angiography, Digital Subtraction
          Software
          Computers and Computerization
          Systems Design
          Systems Implementation
      ab: The productivity gains, diagnostic benefit, and enhanced data availability to clinicians enabled by picture archiving and communication systems (PACS) are no longer in doubt. However, commercial PACS offerings are often extremely expensive initially and require ongoing support contracts with vendors to maintain them. Recently, several open-source offerings have become available that put PACS within reach of more users. However, they can be resource-intensive to install and assure that they have room for future growth-both for computational and storage capacity. An alternate approach, which we describe herein, is to use PACS built on virtual machines which can be moved from smaller to larger hardware as needed in a just-in-time manner. This leverages the cost benefits of Moore's Law for both storage and compute costs. We describe the approach and current results in this paper.
      pubtype: Academic Journal
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        research
        tables/charts
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    language: English
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