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

Claim 2:
3. A non-transitory computer readable medium product storing machine executable instructions for execution by a processor controlling a medical system and a convolutional neural network previously trained using training data comprising training Dixon magnetic resonance images and training water-fat swap masks, 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 execution of the machine executable instructions causes the processor to:
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.