Cover Image
QR Code

Content-based retrieval in picture archiving and communication systems.

A Content-Based Retrieval Architecture (COBRA) for picture archiving and communication systems (PACS) is introduced. COBRA improves the diagnosis, research, and training capabilities of PACS systems by adding retrieval by content features to those systems. COBRA is an open architecture based on wide...

Full description

Published in:Journal of Digital Imaging Vol. 13; no. 2; pp. 70 - 82
Main Authors: El-Kwae EA, Xu H, Kabuka MR
Format: tables/charts Journal Article
Published: Springer Nature Feb2000
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=107124034&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 107124034
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        08971889
        DOQ
      jtl: Journal of Digital Imaging
      issn: 08971889
      maglogo: N
    pubinfo:
      dt: Feb2000
      vid: 13
      iid: 2
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        107124034
        107124034
        2000050121
        NLM10843252
        107124034
      ppf: 70
      ppct: 12
      formats:
      tig:
        atl: Content-based retrieval in picture archiving and communication systems.
      aug:
        au:
          El-Kwae EA
          Xu H
          Kabuka MR
        affil: Dept of Computer Science, University of North Carolina, Charlotte, NC
      sug:
        subj:
          Picture Archiving and Communication Systems
          Image Retrieval
          Systems Design
      ab: A Content-Based Retrieval Architecture (COBRA) for picture archiving and communication systems (PACS) is introduced. COBRA improves the diagnosis, research, and training capabilities of PACS systems by adding retrieval by content features to those systems. COBRA is an open architecture based on widely used health care and technology standards. In addition to regular PACS components, COBRA includes additional components to handle representation, storage, and content-based similarity retrieval. Within COBRA, an anatomy classification algorithm is introduced to automatically classify PACS studies based on their anatomy. Such a classification allows the use of different segmentation and image-processing algorithms for different anatomies. COBRA uses primitive retrieval criteria such as color, texture, shape, and more complex criteria including object-based spatial relations and regions of interest. A prototype content-based retrieval system for MR brain images was developed to illustrate the concepts introduced in COBRA. Copyright © 2000 by W.B. Saunders Company
      pubtype: Academic Journal
      doctype:
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N