Patent ID: 11957515
Assignee: KONINKLIJKE PHILIPS N.V.
Field: Measurement (Instruments)
Classification: CPC A  G | IPC A  G

Claim 10:
11. A method of generating ultrasound images from sparsely sampled ultrasound data, the method comprising:
receiving undersampled ultrasound data corresponding to ultrasound images acquired during cardiac imaging;
coupling the undersampled ultrasound data to a neural network to produce modified ultrasound data representative of sufficiently-sampled ultrasound data, the neural network is trained by:
providing a first ultrasound data set comprising sufficiently-sampled ultrasound data corresponding to previously-acquired ultrasound images;
producing a second ultrasound data set with missing data by reducing spatial and temporal sampling of the first ultrasound data set to mimic undersampling caused by low frame rate acquisition as applied to the cardiac imaging over at least one cardiac cycle;
coupling the second ultrasound data set to one or more neural networks including the neural network to generate new data estimated to represent the missing data;
producing a third ultrasound data set by modifying the second ultrasound data set to include the new data;
classifying, by the one or more neural networks, the third ultrasound data set as either real or fake; and
adjusting activation rules for one or more nodes of the one or more neural networks based on an accuracy of the classification; and

generating one or more ultrasound images based on the modified ultrasound data.