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首页> 外文期刊>Journal of Digital Imaging >Predicting Clinical Image Delivery Time by Monitoring PACS Queue Behavior
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Predicting Clinical Image Delivery Time by Monitoring PACS Queue Behavior

机译：通过监视PACS队列行为来预测临床图像交付时间

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摘要

The expectation of rapid image retrieval from PACS users contributes to increased information technology (IT) infrastructure investments to increase performance as well as continuing demands upon PACS administrators to respond to “slow” system performance. The ability to provide predicted delivery times to a PACS user may curb user expectations for “fastest” response especially during peak hours. This, in turn, could result in a PACS infrastructure tailored to more realistic performance demands. A PACS with a stand-alone architecture under peak load typically holds study requests in a queue until the DICOM C-Move command can take place. We investigate the contents of a stand-alone architecture PACS RetrieveSend queue and identified parameters and behaviors that enable a more accurate prediction of delivery time. A prediction algorithm for studies delayed in a stand-alone PACS queue can be extendible to other potential bottlenecks such as long-term storage archives. Implications of a queue monitor in other PACS architectures are also discussed.
机译：对PACS用户的快速图像检索的期望有助于增加信息技术（IT）基础设施投资以提高性能，以及对PACS管理员对“慢速”系统性能做出响应的持续要求。向PACS用户提供预计的交付时间的能力可能会抑制用户对“最快”响应的期望，尤其是在高峰时段。反过来，这可能会导致为满足更实际的性能需求而量身定制的PACS基础架构。具有峰值负载的独立体系结构的PACS通常会将研究请求保持在队列中，直到可以执行DICOM C-Move命令为止。我们研究了独立体系结构PACS RetrieveSend队列的内容，并确定了能够更准确地预测交付时间的参数和行为。用于在独立PACS队列中延迟的研究的预测算法可以扩展到其他潜在的瓶颈，例如长期存储档案。还讨论了队列监视器在其他PACS体系结构中的含义。

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  • 来源
    《Journal of Digital Imaging》 |2006年第s1期|35-43|共9页
  • 作者

    Nelson E. King; Jorge Documet; Brent Liu;

  • 作者单位

    Olayan School of Business American University of Beirut Bliss Street P.O. Box 11-0236 Riad El-Solh/Beirut 1107 2020 Lebanon;

    Image Processing ampamp Informatics Laboratory Department of Radiology University of Southern California Marina del Rey CA 90292 USA;

    Image Processing ampamp Informatics Laboratory Department of Radiology University of Southern California Marina del Rey CA 90292 USA;

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  • 正文语种 eng
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  • 关键词

    PACS system performance; image retrieval delivery time; response time; benchmark;

    机译：PACS系统性能;图像检索交付时间;响应时间;基准;

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