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Abstract #4787

Deep Learning Image Classification for Automatic Frequency Adjustment in High Field Cardiac MR Imaging

James W Goldfarb1 and Jie Jane Cao1

1Research and Education, St Francis Hospital, Roslyn, NY, United States

Deep learning using a 3D CNN is a viable solution for the determination of the center frequency at high fields for cardiac imaging. It can quickly provide similar results to an expert observer. In the future, the strategy may be applicable to improved frequency resolution and to frequency adjustments outside of the frequency scout range. This strategy should make 3T cardiac MR imaging accessible to a wider audience.

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