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Operational departmentwide picture archiving communication system analysis using discrete event-driven block-oriented

B K Stewart1

  • 1Department of Radiological Sciences, University of California, School of Medicine, Los Angeles 90024-1721.

Journal of Digital Imaging
|May 1, 1993
PubMed
Summary
This summary is machine-generated.

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Accurate prediction of Picture Archiving and Communication System (PACS) image throughput is vital. Simulation modeling accurately estimated PACS performance, identifying the reformatting process as a bottleneck under heavy loads.

Area of Science:

  • Medical Informatics
  • Computer Science
  • Radiology

Background:

  • Accurate image throughput prediction is crucial for successful Picture Archiving and Communication System (PACS) implementation.
  • Simulation is a key tool for evaluating PACS performance and planning.
  • Understanding system bottlenecks is essential for optimizing workflow.

Purpose of the Study:

  • To develop and validate a simulation model for predicting PACS image throughput.
  • To identify performance bottlenecks within the PACS image management chain.
  • To provide estimates of throughput, utilization, and delay for PACS in a radiological department.

Main Methods:

  • Decomposed the PACS image management chain into eight subsystems, including network transfers and software queues.

Related Experiment Videos

  • Utilized commercially available block-oriented network simulation software (BONeS) to create the model.
  • Drove the simulation using traffic generation patterns from the PACS database over a 24-hour period.

    • Main Results:

    • The simulation model demonstrated high accuracy, with simulated traffic generator behavior closely matching PACS database values.
    • The mean delay for the simulated PACS was 225 +/- 59 seconds, varying consistently with observations.
    • The reformatting process was identified as the primary bottleneck, significantly increasing delay under heavy loads.

    Conclusions:

    • The validated simulation model accurately predicts PACS performance metrics like throughput, utilization, and delay.
    • The reformatting process represents a critical bottleneck that requires attention for optimizing PACS performance under high demand.
    • This simulation approach provides valuable insights for radiological departments planning PACS acquisition and management.