Creation of DICOM-aware applications using ImageJ.

The demand for image-processing software for radiology applications has been increasing, fueled by advancements in both image-acquisition and image-analysis techniques. The utility of existing image-processing software is often limited by cost, lack of flexibility, and/or specific hardware requireme...

Descripción completa

Detalles Bibliográficos
Publicado en:Journal of Digital Imaging Vol. 18; no. 2; pp. 91 - 100
Autores principales: Barboriak DP, Padua AO, York GE, MacFall JR
Formato: diagnostic images pictorial Journal Article
Publicado: Springer Nature Jun2005
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106332363&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 106332363
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        08971889
        DOQ
      jtl: Journal of Digital Imaging
      issn: 08971889
      maglogo: N
    pubinfo:
      dt: Jun2005
      vid: 18
      iid: 2
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        106332363
        2009269653
        10.1007/s10278-004-1879-4
        NLM15827831
        106332363
      ppf: 91
      ppct: 9
      formats:
      tig:
        atl: Creation of DICOM-aware applications using ImageJ.
      aug:
        au:
          Barboriak DP
          Padua AO
          York GE
          MacFall JR
        affil: Department of Radiology, Duke University Medical Center, PO Box 3808, Durham, NC 27710, USA
      sug:
        subj:
          Radiology Information Systems
          Image Processing, Computer Assisted
          DICOM
          Java
          Internet
      ab: The demand for image-processing software for radiology applications has been increasing, fueled by advancements in both image-acquisition and image-analysis techniques. The utility of existing image-processing software is often limited by cost, lack of flexibility, and/or specific hardware requirements. In particular, many existing packages cannot directly utilize images formatted using the specifications in part 10 of the DICOM standard ('DICOM images'). We show how image analyses can be performed directly on DICOM images by using ImageJ, a free, Java-based image-processing package (http://rsb.info.nih.gov/ij/). We demonstrate how plug-ins written in our laboratory can be used along with the ImageJ macro script language to create flexible, low-cost, multiplatform image-processing applications that can be directed by information contained in the DICOM image header.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        pictorial
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N