talk/091014Wein をテンプレートにして作成

Start:
[[talk]] * Invited talk on Oct. 14, 2009 [#w7c0f803] ** Date/Time [#w269b746] - 2009/10/14 13:30 - 14:30 ** Place [#pdefab58] - Room #462, IB South Wing, Nagoya University Higashiyama Campus ** Speaker [#n01dbdbb] - Dr. Wolfgang Wein -- Affiliation Imaging and Visualization Department, Siemens Corporate Research, Princeton, USA -- URL http://campar.cs.tum.edu/Main/WolfgangWein ** Title [#d9a705af] - Multimodal ultrasound fusion for guidance and monitoring of minimally-invasive procedures ** Abstract [#be508855] - Apart from its widespread diagnostic use, ultrasound is a valuable imaging modality for minimally-invasive interventions. In this context, it is often desired to integrate pre-operative imaging and planning information with live freehand ultrasound during the procedure. This is associated with challenging multi-modal registration and real-time image processing problems. I will give a detailed description of our technology for image-based CT-ultrasound registration, and present our approach for real-time respiratory motion compensation based on ultrasound. I will furthermore introduce a number of GPU-accelerated algorithms for efficient simulation and reconstruction of ultrasound. All of that is put into context by describing clinical applications in interventional oncology and cardiology.

End:
[[talk]] * Invited talk on Oct. 14, 2009 [#w7c0f803] ** Date/Time [#w269b746] - 2009/10/14 13:30 - 14:30 ** Place [#pdefab58] - Room #462, IB South Wing, Nagoya University Higashiyama Campus ** Speaker [#n01dbdbb] - Dr. Wolfgang Wein -- Affiliation Imaging and Visualization Department, Siemens Corporate Research, Princeton, USA -- URL http://campar.cs.tum.edu/Main/WolfgangWein ** Title [#d9a705af] - Multimodal ultrasound fusion for guidance and monitoring of minimally-invasive procedures ** Abstract [#be508855] - Apart from its widespread diagnostic use, ultrasound is a valuable imaging modality for minimally-invasive interventions. In this context, it is often desired to integrate pre-operative imaging and planning information with live freehand ultrasound during the procedure. This is associated with challenging multi-modal registration and real-time image processing problems. I will give a detailed description of our technology for image-based CT-ultrasound registration, and present our approach for real-time respiratory motion compensation based on ultrasound. I will furthermore introduce a number of GPU-accelerated algorithms for efficient simulation and reconstruction of ultrasound. All of that is put into context by describing clinical applications in interventional oncology and cardiology.

Page: