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Abstract #0761

Efficient O-Space Parallel Imaging with Higher-Order Encoding Gradients and No Phase Encoding

Jason Peter Stockmann1, Pelin Aksit Ciris1, Robert Todd Constable2

1Biomedical Engineering, Yale University, New Haven, CT, USA; 2Diagnostic Radiology & Neurosurgery, Yale School of Medicine, and Biomedical Engineering, Yale University, New Haven, CT, USA

"O-space" projection imaging using a combination of linear gradients and the Z2 spherical harmonic is described. Gradient encoding functions are chosen so as to complement the information provided by a circumferential array of surface coils. Using the resulting hybrid encoding function, images are reconstructed from simulated data using the Kaczmarz iterative algorithm. The O-space results show better resolution and lower artifact levels than undersampled radial k-space data, demonstrating that valuable spatial information is provided by the addition of the Z2 field.