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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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