Abstract:
Medical robots can precisely manipulate tools beyond human capabilities and are thus helpful for surgeries involving delicate tissue interactions. When coupled with live 3D imaging, such robots can independently guide surgical instruments in real time. In practice, however, patients receive only limited benefits from such intraprocedural data streams due to the lack of integration between robots and imaging systems with sufficiently high resolution and framerate. In this seminar, I report on work with medical robots that use optical coherence tomography to guide needle insertions for cornea transplantation, enhance surgeon efficiency with live volumetric guidance, and perform autonomous eye imaging. In addition, I discuss using real-time image feedback to adaptively acquire images that break the framerate-resolution barrier during live 3D imaging.

Bio:
Mark Draelos, MD, PhD, is a surgically-trained physician and engineer who develops novel applications of medical robotics and imaging to improve patient care. After finishing Duke University’s Medical Scientist Training Program where he studied biomedical engineering under Prof. Joseph Izatt, Mark completed an internship in general surgery at Duke University Medical Center. Currently, he is an Assistant Professor of Robotics and Ophthalmology at the University of Michigan, where he directs the Image-Guided Medical Robotics Laboratory. Mark has received K99/R00 support from the National Eye Institute.

Zoom:
https://umich.zoom.us/j/91712262512