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Abstract #3830

Iterative Auto-Calibrated Reconstruction of 3D Non-Cartesian Trajectories

Daniel Kopeinigg1, Murat Aksoy1, Samantha J. Holdsworth1, Rafael O'Halloran1, Roland Bammer1

1Center for Quantitative Neuroimaging, Department of Radiology, Stanford University, Stanford, CA, United States

An iterative POCS algorithm for reconstructing arbitrary 3D k-space data is introduced and applied to undersampled 3D Cones trajectories. Our results indicate that the algorithm can greatly reduce aliasing artifacts after only 3-5 iterations.