Biomedical imaging systems are developed primarily for diagnostic or scientific measurement rather than for guidance of tools and actuators. Creating imaging systems suitable for guidance poses unique requirements, including real-time operation, careful handling of multiple 3D coordinate frames, and device geometries that allow physical access for manipulations and other equipment. Automating image guidance systems further requires real-time computer vision algorithms to detect and/or track targets of interest, and guidance of human operators additionally requires well-designed information transfer interfaces, such as image visualization, haptic feedback, and other guidance cues. End-to-end analysis and design of such complex biomedical image guidance systems will be presented, including software, hardware, computer-controlled optics, and human factors research.
John Galeotti received BS and MS degrees in Computer Engineering from North Carolina State University (2001, 2002), and MS and PhD degrees in Robotics from Carnegie Mellon University (2005, 2007). He is currently a senior project scientist at Carnegie Mellon University’s Robotics Institute, as well as an adjunct assistant professor with advising privileges at CMU's Biomedical Engineering department and an adjunct assistant professor at the University of Pittsburgh's Bioengineering department. He directs the Biomedical Image Guidance Laboratory at CMU, and he teaches a graduate course on biomedical image analysis algorithms that was funded by the National Library of Medicine.
Faculty Host: George Stetten