Abstract #1541
Automated Design of Time-Optimal SWIRLS-like trajectory Additionally Optimized for Sampling Uniformity
Thomas W Polley 1 , YunHong Shu 2 , Joshua D Trzasko 1 , and Matt A Bernstein 2
1
Physiology and Biomedical Engineering, Mayo
Clinic, Rochester, MN, United States,
2
Radiology,
Mayo Clinic, Rochester, MN, United States
We demonstrate an automated design algorithm for a 3D
non-Cartesian trajectory inspired by SWIRLS. In addition
to being automated, the resulting trajectory maximizes
the uniformity of sampling density through the k-space
volume. Phantom and volunteer acquisitions demonstrate
its feasibility and image quality improvement over the
default SWIRLS trajectory for a fixed scan time. The
algorithm takes as inputs the FOV, resolution, and
hardware gradient limitations, and may be efficient
enough to be done in real time. This would allow it to
be more easily implemented in a variety of clinical and
research situations.
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