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.
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