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

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  • 02/20/2025
Type of Material
Authors
    David Andrew Gutman, Emory UniversityWilliam D. Dunn, Jr., Emory UniversityJake Cobb, Georgia Institute of TechnologyRichard M. Stoner, University of CaliforniaJayashree Kalpathy-Cramer, Martinos Center for Biomedical ImagingBradley Erickson, Mayo Clinic
Language
  • English
Date
  • 2014-05-27
Publisher
  • Frontiers
Publication Version
Copyright Statement
  • © 2014 Gutman, Dunn, Cobb, Stoner, Kalpathy-Cramer and Erickson.
License
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 1662-5196
Volume
  • 8
Issue
  • 53
Grant/Funding Information
  • This work was supported in part by PHS Grant UL 1RR025008 from the Clinical and Translational Science Award Program, National Institutes of Health, Contract No HHSN261200800001E from the national Cancer Institute, National Institutes of Health, and the Georgia Research Alliance.
Abstract
  • 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.
Author Notes
  • Correspondence: David A. Gutman, Department of Biomedical Informatics, Emory University, 36 Eagle Row, Room 572 PAIS, Atlanta, GA 30322, USA. E-mail: dgutman@emory.edu
Keywords
Research Categories
  • Biology, Bioinformatics
  • Health Sciences, Radiology

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