| CPC G06T 11/006 (2013.01) [G06T 11/005 (2013.01); G06T 2210/41 (2013.01); G06T 2211/441 (2023.08)] | 12 Claims |

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1. A magnetic resonance image processing method performed by a magnetic resonance image processing apparatus, the method comprising:
acquiring a low-quality training image, a first parameter group including at least one scan parameter applied, which is an environmental variable applied to a medical imaging device that captures the training image, when the training image is acquired, a high-quality label image, and a second parameter group including at least one scan parameter applied, which is an environmental variable applied to the medical imaging device that captures the label image, when the label image is acquired; and
training an artificial neural network model by using the training image, the first parameter group, the label image, and the second parameter group,
wherein the first parameter group and the second parameter group are one-dimensional data in which values of at least one scan parameter are listed, and
wherein the first parameter group and the second parameter group are transformed and input to the artificial neural network model.
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