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

Claim 1:
2. A medical system comprising:
a memory configured to store machine executable instructions and a convolutional neural network, wherein the convolutional neural network is configured to receive an initial Dixon magnetic resonance image as input, wherein the convolutional neural network is configured to identify one or more water-fat swap regions in the initial Dixon magnetic resonance image; and
a processor configured to control the medical system, wherein execution of the machine executable instructions further causes the processor to:
receive 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 water-fat swap mask identifies a ground truth location of the one or more water-fat swap regions;
train the convolutional neural network using the training data;
receive the initial Dixon magnetic resonance image; and
receive the one or more water-fat swap regions from the convolutional neural network in response to inputting the initial Dixon magnetic resonance image into the convolutional neural network.