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Abstract #3738

Fast Platform Independent Web-Based Visualization of MRI Data for Computers, Tablets and Smartphones

Daniel Hhn1, 2, Nicolas Rannou1, 2, Thomas J. Re1, 3, Patricia Ellen Grant1, 2, Rudolph Pienaar1, 2

1Radiology, Boston Children's Hospital, Boston, MA, United States; 2Radiology, Harvard Medical School, Boston, MA, United States; 3Radiology, University of Milan, Milan, Italy

Recent advances in web browser technology enable fast loading and visualization of medical imaging data. We developed a parser for MR data in DICOM format which shows workstation-like performance while enabling access to such data across devices (smartphones, tablets, computers).

Keywords

accelerate access according advances allow among application applications applied array assuming attributes audience belong better binary biomedical browser browsers canvas children classified client clinical clinicians code collaboration columns computer computers context contrast conversion core create dataset decreases deployed desktop develop developed development device devices diagnostic directly drop enable enabled enables engineering engines especially evaluated every facilitating fast faster flash full fully head header inside installation interactive international issues judge known licensed like loaded loading local locally medical minimal mobile modality modern open operation others parsed parser parsing performance phone physicians platform portable poster preprocessing previous processing programs properly pure quad radiologists radiology read reduced rendering repository required restrictions rows running runs scanned school scientific series server session several share sided significantly since slice slicer software source spacing specialized specification speed structural structures studied subset suppl symposium tablets technologies therapeutic toolkit traditional typed typically view viewer visualization visualized volume whole workstation written