Web based tools for visualizing imaging data and development of XNATView, a zero footprint image viewer

David A. Gutman, William D. Dunn, Jake Cobb, Richard M. Stoner, Jayashree Kalpathy-Cramer, Bradley Erickson

Research output: Contribution to journalReview article

5 Scopus citations


Advances in web technologies now allow direct visualization of imaging data sets without necessitating the download of large file sets or the installation of software. This allows centralization of file storage and facilitates image review and analysis. XNATView is a light framework recently developed in our lab to visualize DICOM images stored in The Extensible Neuroimaging Archive Toolkit (XNAT). It consists of a PyXNAT-based framework to wrap around the REST application programming interface (API) and query the data in XNAT. XNATView was developed to simplify quality assurance, help organize imaging data, and facilitate data sharing for intra- and inter-laboratory collaborations. Its zero-footprint design allows the user to connect to XNAT from a web browser, navigate through projects, experiments, and subjects, and view DICOM images with accompanying metadata all within a single viewing instance.

Original languageEnglish (US)
Article number53
JournalFrontiers in Neuroinformatics
Issue numberMAY
StatePublished - May 27 2014



  • Biomedical imaging
  • DICOM-viewer
  • MRI
  • PyXNAT
  • Radiology
  • Web-based image viewer
  • XNAT

ASJC Scopus subject areas

  • Neuroscience (miscellaneous)
  • Biomedical Engineering
  • Computer Science Applications

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