title: Web based tools for visualizing imaging data and development of XNATView, a zero footprint image viewer.
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.
authors.affiliation: Department of Biomedical Informatics, Emory University Atlanta, GA, USA.
authors.forename: David A
authors.initials: DA
authors.lastname: Gutman
authors.affiliation: Department of Biomedical Informatics, Emory University Atlanta, GA, USA.
authors.forename: William D
authors.initials: WD
authors.lastname: Dunn
authors.affiliation: Georgia Institute of Technology, College of Computing Atlanta, GA, USA.
authors.forename: Jake
authors.initials: J
authors.lastname: Cobb
authors.affiliation: Department of Neurosciences, University of California San Diego School of Medicine La Jolla, CA, USA.
authors.forename: Richard M
authors.initials: RM
authors.lastname: Stoner
authors.affiliation: Harvard-MIT Division of Health Sciences and Technology, Martinos Center for Biomedical Imaging Charlestown, MA, USA.
authors.forename: Jayashree
authors.initials: J
authors.lastname: Kalpathy-Cramer
authors.affiliation: Department of Radiology, Mayo Clinic Rochester, MN, USA.
authors.forename: Bradley
authors.initials: B
authors.lastname: Erickson
keywords: DICOM-viewer; MRI; PyXNAT; XNAT; biomedical imaging; radiology; web-based image viewer