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Abstract #3470

Deep learning-based brain MRI reconstruction with realistic noise

Quan Dou1, Xue Feng1, and Craig H. Meyer1
1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States


Fast imaging techniques can speed up MRI acquisition but can also be corrupted by noise, reconstruction artifacts, and motion artifacts in a clinical setting. A deep learning-based method was developed to reduce imaging noise and artifacts. A network trained with the supervised approach improved the image quality for both simulated and in vivo data.

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