Nassir Navab is a Professor of Computer Science and founder and director of the Computer Aided Medical Procedures (CAMP) Laboratories at TU Munich and Johns Hopkins University. He is a fellow and member of board of directors of the MICCAI society and a member of steering committee of IEEE ISMAR. He is an associated editor for IEEE transactions on Medical Imaging and member of the editorial board of Medical Image Analysis and International Journal of Computer Vision. He received the IEEE ISMAR ’10 year lasting impact award’ in October 2010, and Siemens Inventor of the Year award in 2001 and SMIT medical Innovation award in 2010. He is the inventor for 45 US and over 50 European patents. He has published hundreds of papers and has co-authored over twenty papers awarded in most prestigious international conferences. Nassir acted as Area Chair for ICCV 2015, Program Board for IPCAI 2014-2016 and General Chair for IEEE ISMAR 2014, and acts as an areas chair for ECCV16 and BMVC16. He was the General Chair for MICCAI held in Munich, October 2015. His current fields of interest include Patient and Process Specific Robotic Imaging, Medical Augmented Reality and Computer Vision. (For more details please visit: http://campar.in.tum.de and http://camp.lcsr.jhu.edu/ )
Robotics and Augmented Reality for Patient and Process Specific Imaging and Visualization
In this talk, I will first discuss the needs for developing novel intra-operative personalized imaging solutions. I will present my views on the future of intra-operative imaging and in particular on the important role robotics, control, imaging and visualization need to play. I will then focus on some of our latest results in patient and process specific multi-modal imaging and visualization. I will introduce the novel concept of “desired view” control for intra-operative X-ray, SPECT and Ultrasound imaging. I will introduce: 1) the first intra-operative SPECT/CT imaging solution, its design, development as well as experimental validation, 2) An MR-based desired view control for Robotic Ultrasound imaging, augmented by advance servoing control guaranteeing a successful high quality image acquisition, and 3) the deployment of desired view control concept for clinical applications in X-ray angiography. Finally, I will show some of our latest results in relevance-based augmented reality visualization and advance UI for computer assisted Interventions.