Method for motion artifact reduction using a convolutional neural network for dynamic contrast enhanced MRI of the liver

18 Jul 2018 • Daiki Tamada • Marie-Luise Kromrey • Hiroshi Onishi • Utaroh Motosugi

Purpose: To improve the quality of images obtained via dynamic contrast-enhanced MRI (DCE-MRI) that include motion artifacts and blurring using a deep learning approach. Methods: A multi-channel convolutional neural network (MARC) based method is proposed for reducing the motion artifacts and blurring caused by respiratory motion in images obtained via DCE-MRI of the liver... (read more)

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