Abstract #4288

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

Abubakr Eldirdiri¹, Stefan Posse^2,3,4, Lars G. Hanson^5,6, Andreas E. Clemmensen⁷, Andreas Kjær⁷, Adam E. Hansen⁷, Jan Henrik Ardenkjær-Larsen⁵, and Charles H. Cunningham^1,8

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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