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Abstract #0202

GPU Accelerated Dynamic Respiratory Motion Model Correction for MRI-Guided Cardiac Interventions

Robert Xu1,2 and Graham Wright1,2

1Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Schulich Heart Research Program, Sunnybrook Research Institute, Toronto, ON, Canada

The objective of this study is to explore the use of a rapidly updated dynamic motion model to correct for respiratory motion induced errors during MRI-guided cardiac interventions. The motivation for the proposed technique is to improve the accuracy of MRI guidance by taking advantage of the anatomical context provided by the high-resolution prior images and the respiratory motion information present in a series of real-time MR images. To achieve this goal, the proposed dynamic motion model is updated continuously, and is used to predict the motion estimate for realigning the prior volume with the real-time images during an intervention.

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