US 12,092,735 B2
Method and apparatus for deep learning-based ultrasound beamforming
Faik Can Meral, Mansfield, MA (US); Shyam Bharat, Arlington, MA (US); Grzegorz Andrzej Toporek, Cambridge, MA (US); Carolina Amador Carrascal, Everett, MA (US); and Claudia Errico, Cambridge, MA (US)
Assigned to KONINKLIJKE PHILIPS N.V., Eindhoven (NL)
Appl. No. 17/769,159
Filed by KONINKLIJKE PHILIPS N.V., Eindhoven (NL)
PCT Filed Oct. 9, 2020, PCT No. PCT/EP2020/078348
§ 371(c)(1), (2) Date Apr. 14, 2022,
PCT Pub. No. WO2021/074015, PCT Pub. Date Apr. 22, 2021.
Claims priority of provisional application 62/915,672, filed on Oct. 16, 2019.
Prior Publication US 2024/0111045 A1, Apr. 4, 2024
Int. Cl. G01S 15/89 (2006.01); G01S 7/52 (2006.01)
CPC G01S 15/8968 (2013.01) [G01S 7/52028 (2013.01)] 20 Claims
OG exemplary drawing
 
1. 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.