CPC G06T 5/002 (2013.01) [A61B 6/5258 (2013.01); G06T 7/0012 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20182 (2013.01)] | 16 Claims |
1. A method comprising:
receiving a medical image acquired by an imaging system, wherein the medical image comprises colored noise;
mapping the medical image to a de-noised medical image without colored noise using a trained convolutional neural network (CNN);
displaying the de-noised medical image via a display device;
wherein mapping the medical image to the de-noised medical image using the trained CNN further includes: acquiring one or more noise parameters corresponding to a source of the colored noise and incorporating the one or more noise parameters into the trained CNN; and
wherein the one or more noise parameters are derived from at least one of a k-space sampling pattern used to acquire the medical image or a k-space sampling density used to acquire the medical image.
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