Patent ID: 11906608
Assignee: KONINKLIJKE PHILIPS N.V.
Field: Measurement (Instruments)
Classification: CPC G | IPC G

Claim 3:
4. A method of training a convolutional neural network, wherein the convolutional neural network is configured for receiving an initial Dixon magnetic resonance image as input, wherein the convolutional neural network is configured for identifying one or more water-fat swap regions in the initial Dixon magnetic resonance image, wherein the method comprises
receiving training data, wherein each of the training data comprises a training Dixon magnetic resonance image and a training water-fat swap mask, wherein the training Dixon magnetic resonance image comprises the one or more water-fat swap regions, wherein the training water-fat swap mask identifies a ground truth location of the one or more water-fat swap regions; and
training the convolutional neural network using the training data.