Computer Vision in Interventional Medicine:Progress and Opportunities
The advent of widespread high definition digital video microscopy,endoscopy, and laparoscopy offers new opportunities for computervision in interventional medicine. In particular, light-imaging devicescan now be used as devices for quantitative measurement,assessment, and feedback to surgeons, thus improving the safety,quality, and consistency of interventions with no extra cost oradditional equipment. In this talk, I will review over a decade of workon adapting computing vision to retinal surgery, skull-base surgery,and robotic laparoscopic surgery. Specific topics will include visualtool tracking and video mosaicking, video 3D reconstruction, video-CT registration, and the use of video as a basis for activityrecognition and skill assessment.
Biography
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 andTechnology. His research interests include time-series analysis of imagedata, image-guided robotics, medical applications of image analysis androbotics, and human-computer interaction. He is the author of more than 250 peer-reviewed research articles and books in the area of robotics andcomputer vision. Professor Hager received his PhD in 1988 from theUniversity of Pennsylvania. He spent a year as a Fulbright Professor at theFraunhofer IITB in Karlsruhe, Germany, and was on the faculty at Yale University from 1991-1999. In 2006, Prof. Hager was elected a fellow of the IEEE for his contributions in Vision-Based Robotics.