Share Email Print
cover

Proceedings Paper

Acquisition and analysis of throughput rates for an operational department-wide PACS
Author(s): Brent K. Stewart; Ricky K. Taira; Samuel J. Dwyer; H. K. Huang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

The accurate prediction of image throughput is a critical issue in planning for and acquisition of any successful Picture Archiving and Communication System (PACS). Bottlenecks or design flaws can render an expensive PACS implementation useless. This manuscript presents a method for accurately predicting and measuring image throughput of a PACS design. To create the simulation model of the planned or implemented PACS, it must first be decomposed into principal tasks. We have decomposed the entire PACS image management chain into eight subsystems. These subsystems include network transfers over three different networks (Ethernet, FDDI and UltraNet) and five software programs and/or queues: (1) transfer of image data from the imaging modality computer to the image acquisition/reformatting computer; (2) reformatting the image data into a standard image format; (3) transferring the image data from the acquisition/reformatting computer to the image archive computer; (4) updating a relational database management system over the network; (5) image processing-- rotation and optimal gray-scale lookup table calculation; (6) request that the image be archived; (7) image transfer from the image archive computer to a designated image display workstation; and (8) update the local database on the image display station, separate the image header from the image data and store the image data on a parallel disk array. Through development of an event logging facility and implementation of a network management package we have acquired throughput data for each subsystem in the PACS chain. In addition, from our PACS relational database management system, we have distilled the traffic generation patterns (temporal, file size and destination) of our imaging modality devices. This data has been input into a simulation modeling package (Block Oriented Network Simulator-- BONeS) to estimate the characteristics of the modeled PACS, e.g., the throughput rates and delay time. This simulation provides estimates on what a radiological department can expect from a PACS in terms of throughput and delay.

Paper Details

Date Published: 1 July 1992
PDF: 15 pages
Proc. SPIE 1654, Medical Imaging VI: PACS Design and Evaluation, (1 July 1992); doi: 10.1117/12.60256
Show Author Affiliations
Brent K. Stewart, UCLA School of Medicine (United States)
Ricky K. Taira, UCLA School of Medicine (United States)
Samuel J. Dwyer, UCLA School of Medicine (United States)
H. K. Huang, UCLA School of Medicine (United States)


Published in SPIE Proceedings Vol. 1654:
Medical Imaging VI: PACS Design and Evaluation
R. Gilbert Jost, Editor(s)

© SPIE. Terms of Use
Back to Top