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
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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