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Abstract #0811

Virtual Coil Navigator: A Robust Localized Motion Estimation Approach for Free-Breathing Cardiac MRI

Xinwei Shi 1 , Joseph Cheng 2 , Michael Lustig 3 , John Pauly 1 , and Shreyas Vasanawala 2

1 Electrical Engineering, Stanford University, Stanford, CA, United States, 2 Radiology, Stanford University, Stanford, CA, United States, 3 Electrical Engineering and Computer Science, UC Berkeley, Berkeley, CA, United States

MR scans are sensitive to different sources of motion that are usually spatially-varying and asynchronous. Thus, accurate motion measurement requires spatial localization. Current techniques for localized motion estimation include using navigators obtained in a separate acquisition, using 2D&3D image-based navigators, and cropping image projections. These techniques usually add constraints to the imaging sequences. In this work, we propose a virtual coil navigator approach, which tracks localized motion in chosen 3D ROIs and works for simple navigators. We demonstrate that the virtual coil navigator improves correction for both cardiac motion and respiratory induced motion of the heart in free-breathing cardiac MRI.

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