Patent ID: 11948288
Assignee: SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD.
Field: Medical technology (Instruments)
Classification: CPC G | IPC G

Claim 19:
20. A computer-implemented method for processing medical magnetic resonance (MR) images, the method comprising:
receiving an MR image of a scanned object, wherein the MR image comprises a motion artifact; and
processing the MR image through an artificial neural network to obtain an output image that is substantially free of the motion artifact, wherein the artificial neural network is pre-trained using computer-generated MR training images to remove the motion artifact from the MR image, and the MR training images comprise motion artifacts created by at least:
obtaining a set of source MR images of the scanned object, the set of source MR images being substantially free of the motion artifacts and comprising multiple sub-sets of source MR images, each sub-set of source MR images being associated with one of multiple physiological cycles of the scanned object;
deriving at least one MR data segment for each of the multiple physiological cycles based on the sub-set of source MR images associated with the physiological cycle or a modified version of the sub-set of source MR images associated with the physiological cycle;
obtaining an MR data set based on the respective MR data segments derived for the multiple physiological cycles; and
generating the MR training images based on the MR data set, wherein the generating comprises manipulating at least a portion of the MR data set to inject the motion artifacts into the MR training images.