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Abstract #4288

Data-driven Nyquist ghost correction for hyperpolarized 13C EPSI and EPI

Abubakr Eldirdiri1, Stefan Posse2,3,4, Lars G. Hanson5,6, Andreas E. Clemmensen7, Andreas Kjær7, Adam E. Hansen7, Jan Henrik Ardenkjær-Larsen5, and Charles H. Cunningham1,8

1Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 2Department of Neurology, University of New Mexico, Albuquerque, NM, United States, 3Department Physics and Astronomy, University of New Mexico, Albuquerque, NM, United States, 4Department Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, United States, 5Department of Electrical Engineering, Center for Hyperpolarization in Magnetic Resonance, Technical University of Denmark, Lyngby, Denmark, 6Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Copenhagen, Denmark, 7Department of Clinical Physiology, Nuclear Medicine & PET and Cluster for Molecular Imaging, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark, 8Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada

Echo-planar readout is often used in hyperpolarized imaging because of its rapid sampling of the k-space. This scheme, however, suffers from Nyquist ghosting artifacts. We present a data-driven approach to correct Nyquist ghosting in hyperpolarized 13C-EPSI and EPI . The method exploits the sparsity of the spectra in hyperpolarized 13C imaging spectroscopy, and estimates the phase discrepancies from the odd and even data in 13C-EPSI. The method was demonstrated in phantoms and in vivo. We show that it performs better than the 1H reference-based reconstruction, and it eliminates the need for reference scans, which may be an unnecessary source of error.

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