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Abstract #4203

Image Distortion Correction via Gradient Nonlinearity Encoding at 9.4T MRI with Radial Ultra short TE (UTE) Sequence

Shanshan shan1, Mingyan Li1, Haiwei Chen1, Feng Liu1, and Stuart Crozier1

1The University of Queensland, Brisbane, Australia

Radial-encoding sequences can be more sensitive to gradient trajectory deviations caused by gradient nonlinearity (GNL) than Cartesian encoding. In this work, we developed a method to alleviate image distortion caused by GNL specifically for radial-encoding. Experimental results acquired from a 9.4 T pre-clinical MRI scanner with using Ultra-short TE sequence were used to validate the proposed method.

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