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AssigneeSiemens Healthcare GmbH
InventorsSilvia Bettina Arroyo Camejo, Benjamin L. Odry, Xiao Chen, Mariappan S. Nadar
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For detecting motion in MR imaging, a regression model, such as a convolutional neural network, is machine trained. To generalize to MR imagers, MR contrasts, or other differences in MR image generation, the regression model is trained adversarially. The discriminator for adversarial training discriminates between classes of the variation source (e.g., type of MR imager or type of contrast) based on values of features learned in the regression model for detecting motion. By adversarial training, the regression model learns features that are less susceptible or invariant to variation in image source.
A method for detecting motion for a magnetic resonance system, the method comprising:
A method for machine learning to detect motion in images of a magnetic resonance system, the method comprising:
A magnetic resonance system for motion detection independent of scanner or contrast, the magnetic resonance system comprising:
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