Section: Overall Objectives

Challenges

Image-guided therapy has revolutionized medicine, in its ability to provide care that is both efficient and effective. However, images acquired during an intervention are either incomplete, under-exploited or can induce adverse outcomes. This can be due, for instance, to the lack of dimensionality of X ray images and the associated radiation exposure for the patient. We believe that by combining our expertise in real-time numerical simulation (of soft tissues, flexible medical devices, and complex interactions) with data extracted from intra-operative images, we could provide efficient per-operative guidance. To reach these objectives we need to solve challenges that lie at the intersection of several scientific domains. They include the development of novel numerical strategies (to enable real-time computation even with the increase in complexity of future models), and data-driven simulation (to link simulation with real world data).