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Abstract #0639

Gradient Waveform Prediction Using Deep Neural Network

Qi Liu1, Hoang (Mark) Nguyen1,2, Xucheng Zhu3, Xiaohui Zhai3, Bo Li3, Jian Xu1, and Weiguo Zhang1
1UIH America, Inc., Houston, TX, United States, 2Department of Computer Science and Electrical Engineering, University of Missouri at Kansas City, Kansas City, MO, United States, 3United Imaging Healthcare, Shanghai, China


A versatile, practical, and effective gradient trajectory correction technique that considers gradient system nonlinearity is proposed using deep learning. Its performance was validated on phantoms and human subjects and demonstrated superior quality than the conventional techniques.

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