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Abstract #2347

Eliminating limits of spatiotemporal resolution in radial stack-of-stars imaging using FID navigators and single-readout binning

I. T. Maatman1, S. Ypma1, M. Kachelrieß2, Y. Berker2, K. T. Block3, E. Van der Bijl1, J. J. Hermans1, M. C. Maas1, and T. W. J. Scheenen1
1Radboud University Medical Centre, Nijmegen, Netherlands, 2German Cancer Research Center (DKFZ), Heidelberg, Germany, 3NYU Langone Medical Center, New York, NY, United States


Motion-compensated images can be created from motion-binned undersampled radial stack-of-stars data through compressed sensing and image registration. However, for long repetition times or for many partitions, the acquisition time for one radial projection with all phase-encode steps becomes too long to sample the motion via self-gating, which leads to motion artifacts. Therefore, we estimate motion from FID-navigators and perform binning on a single-readout level to gain higher spatiotemporal resolutions. Our methods are tested on a motion phantom and volunteer with gridding and motion-compensated reconstructions. Our results show accurate detection of the motion signal and reduced motion blur in reconstructions.

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