Improved Tracking of Object Motion During MRI Examinations Using Coil Fingerprint Enhanced Signal Navigators.
Kaveh Vahedipour 1,2 , Thomas Kster 1,2 , and Fernando Boada 1,2
Center for Advanced Imaging Innovation and
Research (CAI2R), NYU Langone Medical Center, New York,
NY, United States,
and Irene Schwartz Center for Biomedical Imaging,
Department of Radiology, New York School of Medicine,
New York, NY, United States
We present a new approach for tracking object motion
during MRI examinations. The approach is based on the
used of spatially encoded coil signatures or
fingerprints. Using this approach, a motion dictionary
can be generated and the corresponding information used
to assign readout signals to distinct motion states that
have been previously identified during a motion-learning
scan. Our results demonstrate that this approach is
effective and can be easily incorporated into most
high-duty cycle imaging sequences used for body MRI.
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