Artifact reduction by image-to-image network in magnetic resonance imaging

A method for artifact reduction in a magnetic resonance imaging system, the method comprising:

• scanning a patient by the magnetic resonance imaging system, the scanning providing at least first and second sets of magnetic resonance data, the first and second sets representing response to the scanning from first and second distributions of locations;
• inputting the first and second sets of the magnetic resonance data to a neural network machine trained as an image-to-image network;
• generating an image by the neural network in response to the inputting of the first and second sets;
• and
• displaying the image,
• wherein inputting comprises inputting the second set as k-space data or as image data reconstructed from the k-space data, the second set including artifact information, and wherein the neural network was trained from third sets including artifacts and ground truth images with a reduced contribution from the artifacts.