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Abstract #3636

Modulo-Prime Spoke (MoPS) Interleaving for k-Space Segmented Radial Acquisition Strategies

Keigo Kawaji 1 , Hui Wang 2 , Sui-Cheng Wang 1,3 , Akiko Tanaka 4 , Takeyoshi Ota 4 , Roberto M. Lang 1 , and Amit R. Patel 1

1 Medicine, Section of Cardiology, The University of Chicago, Chicago, Illinois, United States, 2 Philips Medical Systems, Cleveland, Ohio, United States, 3 Biomedical Engineering, Northwestern University, Evanston, Illinois, United States, 4 Surgery, The University of Chicago, Chicago, Illinois, United States

In k-space segmented radial sampling strategies, radial trajectories can be acquired repeatedly over multiple consecutive cycles. In this study, we propose a novel interleaving method for 2D or 3D stack-of-stars imaging that uses the property of prime numbers and modular arithmetic (Modular Prime Spokes: MoPS) to provide efficient coverage of k-space within any desired temporal reconstruction window. The MoPS interleaving was demonstrated in a 3-minute cardiac scan with 3D stack-of-stars covering a large >1R-R acquisition window. 15ms temporal resolution reconstructions with 2ms sliding windows were used to investigate filtering methods in the temporal frequency domain for removing streaking artifacts.

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