Web-based multimedia information retrieval for clinical application research

Xinhua Cao, Kent Soo Hoo, Hong Zhang, Wan Ching, Ming Zhang, Stephen T.C. Wong

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

We described a web-based data warehousing method for retrieving and analyzing neurological multimedia information. The web-based method supports convenient access, effective search and retrieval of clinical textual and image data, and on-line analysis. To improve the flexibility and efficiency of multimedia information query and analysis, a three-tier, multimedia data warehouse for epilepsy research has been built. The data warehouse integrates clinical multimedia data related to epilepsy from disparate sources and archives them into a well-defined data model. The middle-ware consists of business logic components such web server, applets and active server page (ASP) scripts for dealing with user authentication and authorization, HTTP request, SQL data access from data warehouse and algorithms to support data analysis. At client side, a web-based graphical user interface (GUI) is used to receive user's query request and display the retrieved textual data. Client-side image processing and display for DICOM format was implemented by Java applets. An image query and display method based on 3D projections has been developed to retrieve and analyze MRI and PET

Original languageEnglish (US)
Pages (from-to)350-358
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4323
DOIs
StatePublished - Aug 7 2001

Keywords

  • Data warehouse
  • Information retrieval
  • Medical multimedia information
  • World Wide Web

ASJC Scopus subject areas

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

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