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.
This abstract and the presentation materials are available to members only;
a login is required.
Join Here
