Image-guided interventions: from precision to safety and data-driven surgery — IBBME Distinguished Seminar
When: April 16, 2018 @ 10:00 am – 11:00 am
Where: SF 1101, 10 King’s College Rd, Toronto
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.
Full announcement at: IBBME