A HTTP-based medical image server compatible with evolving wireless communications infrastructures

Zhanlin Ji, Ivan Ganchev, Máirtín O'Droma, Robert Sadleir

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes a HTTP-based medical image server for the analysis, processing and transmission of medical images (e.g. DICOM, ANALYZES, CTC) realized on the server side, and displaying the results on the client side (handheld terminals, laptops), using the existing or upcoming wireless/wired Internet/Intranet telecommunications infrastructures. The medical image server runs on a lightweight 3-tier J2EE architecture. In the persistence tier, a number of image archives, a relational database and an index database are used for saving the medical images, user profiles and index data respectively. In the application tier, a set of APIs supports medical images loading, analysis and processing, helped by an intelligent business-logic API acting as a bridge between the persistence tier and the web tier. In the web tier, an Applet/Xlet, running on a laptop/handheld terminal, communicates with the server side using the HTTP protocol. With this HTTP-based medical image server, users can upload, retrieve, analyze, and process medical images behind firewalls in an effective and secure way.

Original languageEnglish
Title of host publicationChina-Ireland International Conference on Information and Communications Technologies, CIICT 2007
Pages914-921
Number of pages8
Edition529 CP
DOIs
Publication statusPublished - 2007
EventChina-Ireland International Conference on Information and Communications Technologies, CIICT 2007 - Dublin, Ireland
Duration: 28 Aug 200729 Aug 2007

Publication series

NameIET Conference Publications
Number529 CP

Conference

ConferenceChina-Ireland International Conference on Information and Communications Technologies, CIICT 2007
Country/TerritoryIreland
CityDublin
Period28/08/0729/08/07

Keywords

  • ANALYZE and CTC
  • Applet & Xlet
  • DICOM
  • J2EE
  • Medical Image Analysis & Processing
  • UCWW

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