Method and apparatus for deep learning-based ultrasound beamforming

An ultrasound imaging system, comprising:

• an array of acoustic elements,
• wherein the array of acoustic elements is configured to transmit ultrasound energy into an anatomy in accordance with a first preset acquisition setting,
• wherein the array of acoustic elements is configured to receive ultrasound echoes associated with the anatomy;
• and
• a processor circuit, wherein the processor circuit is in communication with the array of acoustic elements,
• wherein the processor circuit is configured to receive ultrasound channel data corresponding to the ultrasound echoes received from the array of acoustic elements,
• wherein the processor circuit is configured to generate a first set of beamformed data,
• wherein the beamformed data is generated by applying a predictive network to the ultrasound channel data,
• wherein the first set of beamformed data is associated with a second preset acquisition setting,
• wherein the second preset acquisition setting is different than the first preset acquisition setting,
• wherein the processor circuit is configured to generate an image of the anatomy from the first set of beamformed data, and
• wherein the processor circuit is configured to output the image of the anatomy to a display.