Meeting Banner
Abstract #3699

Multiscale Total Variation Registration for MRI Guided Interventions

Robert Xu 1,2 , Prashant Athavale 3 , Adrian Nachman 4,5 , and Graham Wright 1,2

1 Dept. of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada, 2 Schulich Heart Research Program and Physical Science Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada, 3 Dept. of Mathematics, University of Toronto, Ontario, Canada, 4 Edward S. Rogers Sr. Dept. of Electrical and Computer Engineering, University of Toronto, Ontario, Canada, 5 Institute of Biomaterials and Biomedical Engineering, University of Toronto, Ontario, Canada

Traditional cardiovascular interventions are carried out under X-ray fluoroscopy guidance. However, due to the inherent lack of soft tissue contrast, it is often difficult to visualize the surrounding anatomical structures during the interventions. Alternatively, MR-guided interventions have been proposed in recent years to address this visualization problem via the use of realtime imaging or high-resolution prior roadmaps. Unfortunately, tradeoffs also exist for both of these approaches. Therefore, we propose to incorporate the advantages from both imaging acquisitions through alignment of the high-resolution prior roadmap to the dynamic realtime images via a novel multiscale registration framework.

This abstract and the presentation materials are available to members only; a login is required.

Join Here