“Registration, Reconstruction, and Taking Imaging to Task in the OR”
Image-guided interventions present an important area for translational imaging research and fertile ground for development of novel imaging technology, image registration, and image reconstruction approaches. This seminar touches upon three advances underway in image-guided surgery: first, a novel 3D-2D registration approach as a means of decision support against wrong-level spine surgery; second, the development of advanced model-based 3D image reconstruction methods to overcome traditional limitations of noise, resolution, and artifact in cone-beam CT; and third, a paradigm for CT imaging that specifically incorporates a formulation of the imaging task to drive image acquisition and reconstruction in a manner that optimizes task performance. Translational research and implementations that emphasize streamlined interventional workflow, patient safety, and OR quality assurance (ORQA) are discussed.
Jeff Siewerdsen is Professor of Biomedical Engineering and Director of the Carnegie Center for Surgical Innovation at Johns Hopkins University. His research involves medical imaging physics with an emphasis on x-ray and CT imaging, mathematical modeling of imaging performance, image registration, model-based 3D image reconstruction and application in diagnostic and image-guided procedures. He previously led a laboratory at the University of Toronto with focus in dual-energy imaging and image-guided surgery. He was also on the team at William Beaumont Hospital that pioneered the use of cone-beam CT for radiotherapy guidance. He obtained his PhD in Physics from the University of Michigan, where his graduate work involved modeling of imaging performance for flat-panel x-ray detectors.