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Image-guided interventions: from precision to safety and data-driven surgery
Jeffrey H. Siewerdsen, Professor
Department of Biomedical Engineering, Johns Hopkins University
Recent advances in intraoperative imaging aim to propel surgical techniques beyond the question of precision to other factors that are essential to successful surgical outcome—accuracy, quality, safety, and efficacy.
Deployment of such advances on relatively low-cost systems facilitates broader utilization in areas such as orthopaedic, trauma, thoracic, and vascular surgery.
Fuelled by novel image registration, reconstruction, analytics, and high-speed computing, recent research includes 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), and dose reduction (eliminating exposure due to “fluoro hunting”).
Together, such systems provide a basis for OR quality assurance (ORQA) to confirm accurate targeting and provide quantitative evaluation of the surgical product.
Harnessed in retrospective analysis of a growing big data repository (e.g., SpineCloud) of patient imagery and demographics, these methods form the basis for understanding the biological and physical factors underlying the unacceptably large variations in surgical outcome.
In this way, techniques originally developed for mm precision in the individual patient can be extrapolated to understand population variations and determine optimal, personalized surgical strategies.
Jeff Siewerdsen is a professor of biomedical engineering at Johns Hopkins University and director of the Carnegie Center for Surgical Innovation.
He holds cross-appointment in Computer Science, Radiology, Neurosurgery, and the Armstrong Institute for Patient Safety and is John C. Malone Professor at the Malone Center for Engineering in Health at Johns Hopkins University.
He earned 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 novel multi-modality image registration and analytics.
His 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).