A.Özcan; "GUI Commanded MR Guided Interventions...",Feb.18, f3:40,L063
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  • A.Özcan; "GUI Commanded MR Guided Interventions...",Feb.18, f3:40,L063

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Faculty of Engineering and Natural Sciences







GUI Commanded MR Guided Interventions with an MR Compatible Robotic Device


Alpay Özcan


Abstract: MRI scanner and magnetic resonance (MR)-compatible robotic devices are mechatronic systems. Without an interconnecting component, these two devices cannot
be operated synergetically for medical interventions. In this talk, the design and properties of a graphical user interface (GUI) that accomplishes the task is presented. The GUI interconnects the two devices to obtain a larger mechatronic system by providing command and control of the robotic device based on the visual information obtained from the MRI scanner. Ideally, the GUI should also control imaging parameters of the MRI scanner. Its main goal is to facilitate image-guided interventions by acting as the synergistic component between the physician, the robotic device, the scanner, and the patient.


Alpay Ozcan  received the graduate degrees in electrical and electronics engineering and
mathematics with honors, from Bogazici University, Istanbul, Turkey, the M.Sc. degree in electrical engineering with honours from Imperial College London, London, U.K, and the M.S. and doctoral degrees in systems science and mathematics from Washington University, Saint Louis, MO. At Washington University, he worked as a Research Assistant and a Systems Administrator while pursuing his doctoral degree. His master thesis at Imperial College was on the linear controller design using optimization in abstract spaces, his doctoral thesis was on the computation of the feasibility boundary in differential algebraic systems, mainly electrical power systems. He has held a postdoctoral position at the Systems Science and Mathematics Department at Washington University working on game theoretical methods for war games. He is currently a Research Assistant Professor at the Biomedical Magnetic Resonance Laboratory, Mallinckrodt Institute of Radiology, School of Medicine, Washington University. His research interests include magnetic resonance imaging, robotics, nonlinear systems, optimal control, power systems, image processing, computational techniques, probability and stochastic analysis.


February 18, 2009, 13:40, FENS L063