On-demand server-side image processing for Web-based DICOM image display

Takaya Sakusabe, Michio Kimura, Yuzo Onogi

Research output: Contribution to journalConference articlepeer-review

7 Citations (Scopus)

Abstract

Low cost image delivery is needed in modern networked hospitals. If a hospital has hundreds of clients, cost of client systems (hardware and software) is a big problem. Naturally, a Web-based system is the most effective solution. But a Web browser could not display medical images with certain image processing such as a lookup table transformation (e.g. VOI). We developed a Web-based medical image display system using Web browser and on-demand server-side image processing. All images displayed on a Web page are generated from DICOM files on a server, delivered on-demand. User interaction on the Web page is handled by a client-side scripting technology such as JavaScript. This combination makes a look-and-feel of an imaging workstation not only for its functionality but also for its speed. Real time update of images (zooming, window level/width change) with tracking mouse motion is achieved on Web browser without any client-side image processing which may be done by client-side plug-in technology such as Java Applets or ActiveX. We tested performance of the system in three cases. Single client, small number of clients in a fast speed network, and large number of clients in a normal speed network. The result shows that there are very slight overhead for communication and very scalable in number of clients.

Original languageEnglish
Pages (from-to)359-367
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3976
Publication statusPublished - 01-01-2000
Externally publishedYes
EventMedical Imaging 2000: Image Display and Visualization - San Diego, CA, USA
Duration: 13-02-200015-02-2000

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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