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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