Press ReleasesTeraRecon - Stanford University Medical Center sign agreement for advanced 3D San Mateo, CA--November 13, 2002: TeraRecon announced it has signed an agreement with Stanford University Medical Center's Department of Radiology (Palo Alto, CA) to deploy its advanced Aquarius Workstations and AquariusNET 3D enterprise server. Stanford's radiology department utilizes 3D reconstructions for planning treatments for minimally invasive surgeries and therapeutic procedures for vascular analysis, trauma evaluations, and volume analysis for donor programs. AquariusNET 3D enterprise server brings 3D imaging capabilities beyond the radiology department, to clinicians in areas where there is a need to visualize and interact with imaging studies that require 3D volumes to be visualized relative to their critical structures. "AquariusNET is a very flexible platform that provides immediate access to 3D visualizations of CT and MR data," states Dr. Geoffrey Rubin, Chief of Cardiovascular Imaging and Co-Director of Stanford's 3-D Laboratory. "It allows 3D visualizations to be rapidly provided to places where it could never go before. The distributed nature of AquariusNET does not tie us down to where the diagnostic workstations happen to be." According to Dr. Rubin, AquariusNET facilitates improved patient care by allowing the rapid interpretation of 3D volumes by not imposing substantial delays to provide clinicians 3D views. Previously at Stanford, the only way to provide 3D visualizations to remote clinicians was to spend 24-36 hours of preparation and queue times in the 3D Lab. But now, the immediate access of 3-D information allows surgeons to get planned volume rendered views by email within 1 hour before surgery. This is especially important in urgent care cases. With the installation of new 16-slice CT scanners
at Stanford, many CT studies typically exceed 1000 slices of information
per patient study. AquariusNET server can manage these huge data requirements
as it streams frames of 2D and 3D images "on-demand" over the existing
hospital network to thin client PCs around the enterprise. It gives
the radiologist and the clinician access to these huge studies in
seconds, without having to download the data to the client. 2D and
3D visualizations are possible anywhere, with any size dataset. Stanford University
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