Image-Guided Interventions: From Precision and Safety to Data-Driven Surgery—IBBME Distinguished Seminar

November 19, 2018 @ 4:00 pm – 5:00 pm
5 King's College Rd
Toronto, ON M5S 3G8

Image-Guided Interventions: From Precision and Safety to Data-Driven Surgery

Jeffrey H. Siewerdsen, PhD
Vice-Chair and John C. Malone Professor, Department of Biomedical Engineering
Co-Director, Carnegie Center for Surgical Innovation
Cross-Appointments in: Computer Science, Neurosurgery, and Radiology
Associate Faculty, Armstrong Institute for Patient Safety and Quality
Johns Hopkins University


Recent advances in intraoperative imaging and analytics aim to advance surgical techniques beyond the question of geometric precision for measurement and prediction of factors relating to quality, safety, and physiological factors underlying successful surgical outcome. In the last decade, the development of of intraoperative imaging on relatively low-cost systems facilitates broader utilization in areas such as orthopaedic, trauma, thoracic, and vascular surgery. Fueled by emerging methods for image registration, reconstruction, analytics, and high-speed computing, recent developments include systems for decision support (e.g., the LevelCheck algorithm for vertebral target localization), quality assurance (integrating intraoperative imaging with prior knowledge on devices and instrumentation), dose reduction (eliminating exposure due to “fluoro hunting”), and robotic assistance. Together, such systems provide a basis for OR quality assurance (ORQA) to confirm accurate targeting and provide quantitative evaluation of the surgical product. Harnessing more continuous curation of patient imaging, planning, physiological, and demographic data provides an important analytic foundation for understanding the biological and physical factors underlying variations in surgical outcome. In this way, techniques originally developed to achieve high geometric precision in the OR can be extended to understand population variations and determine optimal, personalized therapeutic and rehabilitative pathways.


Jeff Siewerdsen is the Vice-Chair for Clinical and Industry Translation and the John Malone Professor of Biomedical Engineering at Johns Hopkins University. He is also Co-Director of the Carnegie Center for Surgical Innovation and holds cross-appointment in Computer Science, Radiology, Neurosurgery, and the Armstrong Institute for Patient Safety and Quality. He obtained his PhD in Physics at the University of Michigan (1998), after which he was a Research Scientist at William Beaumont Hospital (1998-2002) and then a Senior Scientist at the Ontario Cancer Institute / University of Toronto (2002-2009). His main interests are in the physics of medical imaging, digital x-ray and cone-beam CT systems for diagnostic and image-guided procedures, and multi-modality image registration and analytics. His current and previous professional activities include service to the AAPM (Science Council, Board of Directors, and Scientific Program Director), the SPIE (Program Committees for Physics of Medical Imaging and Image-Guided Procedures), the RSNA (Program Committee Liaison), and the APS (Program Director and Committee Member for the Topic Group on Medical Physics, GMED). He is Fellow of the AAPM (FAAPM) and AIMBE (FAIMBE).