Image flow management in a PACS network

Doris T. Chen; Bruce Kuo Ting Ho; Woodrew Chao; Ricky K. Taira

doi:10.1117/12.174307

15 May 1994 Image flow management in a PACS network

Doris T. Chen, Bruce Kuo Ting Ho, Woodrew Chao, Ricky K. Taira

Proceedings Volume 2165, Medical Imaging 1994: PACS: Design and Evaluation; (1994) https://doi.org/10.1117/12.174307
Event: Medical Imaging 1994, 1994, Newport Beach, CA, United States

Abstract

The purpose of this project is to develop a graphical tool to analyze and optimize the image flow pattern in a hierarchical, large scale PACS local area network. The PACS network is characterized as heavy image traffic, long image flow path, heterogeneous computer nodes, multiple protocols, and physical media. A smooth operation of the PACS network depends on a centralized, timely report of image flow pattern, trouble spots, and an alarm mechanism for critical conditions. Crucial timing parameters such as queue delay from acquisition to display, processing time for archiving and reformatting, and retrieval speed, can be locally collected and reported to the network manager for statistical characterization. Moreover, network traffic information and system component failures anywhere in the image flow can be reported graphically. High urgency failure trigger an immediate alarm to the designed operator. Our network management software with user friendly graphical interface is easy to use even by non-computer personnel such as hospital administrators. It achieves total automation in trouble reporting and thus leads to improvement of the network layout and operation condition based on the analysis of image flow pattern.

Citation Download Citation

Doris T. Chen, Bruce Kuo Ting Ho, Woodrew Chao, and Ricky K. Taira "Image flow management in a PACS network", Proc. SPIE 2165, Medical Imaging 1994: PACS: Design and Evaluation, (15 May 1994); https://doi.org/10.1117/12.174307

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available