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Séminaire : Quantifying and Enhancing Surgical Performance

12 giugno 2013
INSA de Strasbourg - Amphithéâtre « Lindbergh »

Le professeur Gregory D. HAGER fera une présentation de ses travaux le mercredi 12 juin à 14h dans l'amphithéâtre "Lindbergh" (INSA de Strasbourg).

Title : Quantifying and Enhancing Surgical Performance

Abstract : With the rapidly growing popularity of the Intuitive Surgical da Vinci system, robotic minimally invasive surgery (RMIS) has crossed the threshold from the laboratory to the real world. However, I believe this system is just the beginning of a larger paradigm shift toward more quantitative and computationally-enhanced interventional medicine. In this talk, I will first provide a brief overview of a variety of projects that we are pursing, all of which have the common theme of enhancing information, visualization, and physical performance of the surgeon. One area of work is the use of computer vision methods to perform direct video to CT registration for improved visualization and surgical awareness. A related area is the automated construction of 3D models of anatomy from traditional endoscopic imagery. In the second part of the talk, I will highlight our work aimed at developing statistical methods for modeling RMIS. Using techniques borrowed from speech and language, we consider surgery to be composed of a set of identifiable tasks which themselves are composed of a small set of reusable motion units that we call "surgemes." By creating models of this "Language of Surgery," we are able to evaluate the style and efficiency of surgical motion. These models also lead naturally to methods for effective training of RMIS using automatically learned models of expertise, and toward methods for supporting or even automating component actions in surgery.

Short-Bio : Gregory D. HAGER is a Professor and Chair of Computer Science at Johns Hopkins University and the Deputy Director of the NSF Engineering Research Center for Computer Integrated Surgical Systems and Technology. His current research interests include time-series analysis of image data, image-guided robotics, medical applications of image analysis and robotics, and human-computer interaction. He is the author of more than 280 peer-reviewed research articles and books in the area of robotics and computer vision. In 2006, he was elected a fellow of the IEEE for his contributions in Vision-Based Robotics. He is also on the governing board of the International Federation of Robotics Research and is the Chair Elect of the Computing Community Consortium. Professor Hager received the BA degree, summa cum laude, in computer science and mathematics from Luther College in 1983, and the MS and PhD degrees in computer science from the University of Pennsylvania in 1985 and 1988, respectively. From 1988 to 1990, he was a Fulbright junior research fellow at the University of Karlsruhe and the Fraunhofer Institute IITB in Karlsruhe, Germany. From 1991 until 1999, he was with the Computer Science Department at Yale University. In 1999, he joined the Computer Science Department at Johns Hopkins University.

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