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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