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Abstract #1845

3D Multiscale Weighted Total Variation Registration for MR Image-Guided Catheter Interventions

Jaykumar Patel1,2, Calder Sheagren1,2, Saqeeb Hassan2, Fatemeh Rastegar Jouybari1,3, Christopher Macgowan1,3, and Graham Wright1,2
1Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Schulich Heart Centre, Sunnybrook Research Institute, Toronto, ON, Canada, 3The Hospital for Sick Children, Toronto, ON, Canada


During MR-guided cardiac catheter intervention, the catheter may be misaligned due to the respiratory motion of the heart. To improve the myocardial border alignment, GPU-based edge-preserving image registration is developed to accurately align highly undersampled 3D cone-trajectory image-based navigators for motion characterization. The edge-preserving registration technique improved myocardial border alignment across differing spatial resolutions and acceleration factors in-silico.

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