While DICOM is the lingua franca of clinical imaging, it is worth noting many other imaging formats are commonly used in imaging research. In this work, we review some of the existing source tools and libraries that facilitate web-based image visualization of imaging data sets. However, recent advances in web-based technologies such as HTML5 and faster overall internet connectivity have the potential to significantly simplify this process. These inefficient ad hoc solutions often make collaboration and soliciting feedback on imaging data complicated, imprecise, and time intensive. Visualization and sharing of complex imaging data sets has traditionally involved downloading large file sets, installing custom software applications, or in some cases simply sharing screenshots of specific images with colleagues for review and comment. 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.ĭata management challenges regularly pose problems among imaging laboratories. XNATView was developed to simplify quality assurance, help organize imaging data, and facilitate data sharing for intra- and inter-laboratory collaborations. It consists of a PyXNAT-based framework to wrap around the REST application programming interface (API) and query the data in XNAT. XNATView is a light framework recently developed in our lab to visualize DICOM images stored in The Extensible Neuroimaging Archive Toolkit (XNAT). This allows centralization of file storage and facilitates image review and analysis.
4Harvard-MIT Division of Health Sciences and Technology, Martinos Center for Biomedical Imaging, Charlestown, MA, USA.
3Department of Neurosciences, University of California San Diego School of Medicine, La Jolla, CA, USA.
2Georgia Institute of Technology, College of Computing, Atlanta, GA, USA.1Department of Biomedical Informatics, Emory University, Atlanta, GA, USA.Stoner 3, Jayashree Kalpathy-Cramer 4 and Bradley Erickson 5
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