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

Claim 0:
1. A medical system comprising:
a memory configured to store machine executable instructions 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 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 causes the processor to:
receive the initial Dixon magnetic resonance image;
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; and
reconstruct a corrected Dixon magnetic resonance image using the received one or more water-fat swap regions.