Abstract #1845

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

Jaykumar Patel^1,2, Calder Sheagren^1,2, Saqeeb Hassan², Fatemeh Rastegar Jouybari^1,3, Christopher Macgowan^1,3, and Graham Wright^1,2

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

Synopsis

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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