CPC G06T 11/005 (2013.01) [G06T 7/0012 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/20016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] | 15 Claims |
1. A medical image processing method, comprising:
obtaining a first set of projection data by performing, with a first computed tomography (CT) apparatus comprising a first detector with a first pixel size, a first CT scan of an object in a first imaging region of the first detector;
obtaining a first CT image with a first resolution by reconstructing the first set of projection data by modifying the first pixel size to a second pixel size, wherein the first CT image is used as an input image for a machine-learning model;
obtaining a processed CT image with a resolution higher than the first resolution by applying the machine-learning model for resolution enhancement to the first CT image; and
displaying the processed CT image or outputting the processed CT image for analysis, wherein
the machine-learning model is obtained by training using a second CT image generated based on a second set of projection data which is acquired by performing, with a second CT apparatus comprising a second detector with the second pixel size smaller than the first pixel size, a second CT scan of the object in a second imaging region of the second detector, the second imaging region being smaller than the first imaging region, wherein the second CT image is used as a target image for the input image.
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