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Abstract #2956

Collaborative MRI for Improving Patient Throughput

Andrew B. Holbrook1, Kim Butts Pauly1

1Radiology, Stanford University, Stanford, CA, United States

For diagnostic imaging, a single operator usually sets up, prescribes, and monitors the MRI scan, with software designed accordingly. For interventional procedures, software is still typically designed for a single operator, despite a team often being present, and despite long periods of MR inactivity due to required treatment planning after the initial scans. In this work we present collaborative MRI, where we demonstrate how to parallelize user actions to hasten patient workflow. Our initial work involved designing a software hub-and-spoke model, such that multiple devices with unique interfaces connected into the hub to interact with data and control scans.