CPC G06T 7/0014 (2013.01) [G06N 3/08 (2013.01); G06V 10/60 (2022.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30016 (2013.01)] | 20 Claims |
1. A computer-implemented method of processing complex magnetic resonance (MR) images, comprising:
receiving a pair of corrupted complex data and pristine complex images corresponding to the corrupted complex data; and
training a neural network model using the pair of corrupted complex data and pristine complex images by:
inputting the corrupted complex data to the neural network model;
setting the pristine complex images as target outputs of the neural network model;
processing the corrupted complex data using the neural network model to derive output complex images of the corrupted complex data;
comparing the output complex images with the target outputs by computing a phase-sensitive structural similarity index measure (PS-SSIM) between each of the output complex images and its corresponding target complex image, wherein the PS-SSIM is real-valued and varies with phases of the output complex image and phases of the target complex image; and
adjusting the neural network model based on the comparison.
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