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.
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