US 11,950,960 B2
Ultrasound imaging with deep learning-based beamforming and associated devices, systems, and methods
Francois Guy Gerard Marie Vignon, Andover, MA (US); Muhammad Usman Ghani, Boston, MA (US); Jun Seob Shin, Winchester, MA (US); Faik Can Meral, Mansfield, MA (US); Sheng-Wen Huang, Ossining, NY (US); and Jean-Luc Francois-Marie Robert, Cambridge, MA (US)
Assigned to KONINKLIJKE PHILIPS N.V., Eindhoven (NL)
Appl. No. 17/423,872
Filed by KONINKLIJKE PHILIPS N.V., Eindhoven (NL)
PCT Filed Feb. 10, 2020, PCT No. PCT/EP2020/053288
§ 371(c)(1), (2) Date Jul. 18, 2021,
PCT Pub. No. WO2020/169384, PCT Pub. Date Aug. 27, 2020.
Claims priority of provisional application 62/809,080, filed on Feb. 22, 2019.
Prior Publication US 2022/0096054 A1, Mar. 31, 2022
Int. Cl. A61B 8/08 (2006.01); G06N 3/045 (2023.01); G06T 7/00 (2017.01)
CPC A61B 8/5207 (2013.01) [G06N 3/045 (2023.01); G06T 7/0012 (2013.01); G06T 2207/10136 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] 20 Claims
OG exemplary drawing
 
1. An ultrasound imaging system, comprising:
an array of acoustic elements configured to transmit ultrasound energy into an anatomy and to receive ultrasound echoes associated with the anatomy; and
a processor circuit in communication with the array of acoustic elements and configured to:
receive, from the array, ultrasound channel data corresponding to the received ultrasound echoes;
normalize the ultrasound channel data by applying a first scaling function to the ultrasound channel data based on signal levels of the ultrasound channel data;
generate beamformed data by applying a predictive network to the normalized ultrasound channel data;
de-normalize the beamformed data by applying a second scaling function to the beamformed data based on the signal levels of the ultrasound channel data;
generate an image of the anatomy from the beamformed data; and
output, to a display in communication with the processor circuit, the image of the anatomy.