Medical image processing method, neural network model training method and medical imaging system

Abstract

The present disclosure relates to a medical image processing method, a neural network model training method, and a medical imaging system. The method includes: using a first neural network model to generate, based on first projection data, second projection data, where the second projection data has a higher resolution than the first projection data, and the first neural network model is trained on high-resolution projection data and low-resolution projection data generated by a virtual medical imaging system; reconstructing the second projection data to generate a first reconstructed image; and using a second neural network model to generate, based on the first reconstructed image, a second reconstructed image, where the second reconstructed image has a higher resolution than the first reconstructed image.

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