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Abstract #3184

Trirals for Imaging 10% Faster

Matthew A. McCready1, Daniel Abraham1, Zachary Shah1, Kawin Setsompop1,2, John Pauly1, and Adam Kerr1,3
1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States, 3Center for Cognitive and Neurobiological Imaging, Stanford University, Stanford, CA, United States

Synopsis

Keywords: Data Acquisition, Acquisition Methods

Motivation: Designing hardware efficient trajectories is important for improving sampling efficiency, which can improve spatial encoding, mitigate off-resonance artifacts, and shorten echo times for diffusion sequences.

Goal(s): To develop and characterize an imaging trajectory that fully utilizes the available gradient hardware.

Approach: We propose using trirals, a triangular version of spiral trajectories, to fully utilize the available slew-rate on modern scanners.

Results: Trirals show a theoretical decrease in readout time by 10%, while obtaining similar spatial encoding capabilities. We also demonstrate the use of variable density and mutli-shot trirals.

Impact: Decreasing the readout time using trirals is important for time sensitive artifacts, such as field imperfections, and sequence TR/TE dependent signal changes.

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Keywords