Abstract #2445

Calibration kernels with Alternative Sampling Scheme (CASS) for Parallel Imaging: SENSE meets CASS

Sangcheon Choi^1,2, Rahel Heule^1,3, Edyta Leks^1,2,3, Felix Glang¹, Xin Yu⁴, and Klaus Scheffler^1,3

¹Department of High-field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, ²Graduate Training Centre of Neuroscience, University of Tuebingen, Tuebingen, Germany, ³Department of Biomedical Magnetic Resonance, University of Tuebingen, Tuebingen, Germany, ⁴Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Charlestown, MA, United States

Synopsis

We developed new calibration kernels with an alternative undersampling scheme (CASS) for parallel imaging to reduce coherent aliasing artifacts and noises. By sampling k-space lines with irregular and blockwise patterns, incoherent aliasing patterns and noise signals were spread in reconstructed CASS images. Noteworthily, the CASS method outperformed the conventional GRAPPA method at higher acceleration factors.

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