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

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

JOURNAL=Frontiers in Neuroinformatics

VOLUME=8

YEAR=2014

URL=https://www.frontiersin.org/journals/neuroinformatics/articles/10.3389/fninf.2014.00053

DOI=10.3389/fninf.2014.00053

ISSN=1662-5196

ABSTRACT=<p>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.</p>