US 12,446,861 B2
Methods and systems for clinical scoring a lung ultrasound
Alvin Chen, Cambridge, MA (US); Jochen Kruecker, Andover, MA (US); Naveen Balaraju, Dorchester, MA (US); and Shubham Patil, Cambridge, MA (US)
Assigned to KONINKLIJKE PHILIPS N.V., Eindhoven (NL)
Appl. No. 18/722,255
Filed by KONINKLIJKE PHILIPS N.V., Eindhoven (NL)
PCT Filed Dec. 19, 2022, PCT No. PCT/EP2022/086531
§ 371(c)(1), (2) Date Jun. 20, 2024,
PCT Pub. No. WO2023/117828, PCT Pub. Date Jun. 29, 2023.
Claims priority of provisional application 63/293,232, filed on Dec. 23, 2021.
Claims priority of application No. 22150471 (EP), filed on Jan. 6, 2022.
Prior Publication US 2025/0152144 A1, May 15, 2025
Int. Cl. A61B 8/00 (2006.01); A61B 8/08 (2006.01); G06T 7/00 (2017.01); G16H 50/20 (2018.01)
CPC A61B 8/5223 (2013.01) [A61B 8/08 (2013.01); G06T 7/0012 (2013.01); G16H 50/20 (2018.01); G06T 2207/10132 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30061 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A method for analyzing ultrasound image data, comprising:
receiving ultrasound image data for at least a portion of a lung of a patient, the ultrasound image data comprising at least one lung-related clinical feature;
selecting a first of the at least one lung-related clinical feature;
analyzing, using an image processing algorithm, the ultrasound image data to extract one or more image parameters of the selected first lung-related clinical feature, wherein the image processing algorithm is defined to analyze the selected first lung-related clinical feature;
analyzing, using a trained machine learning algorithm, the ultrasound image data to extract one or more learned parameters of the selected first lung-related clinical feature, wherein the trained machine learning algorithm is trained to analyze the selected first lung-related clinical feature;
combining the extracted one or more image parameters and the extracted one or more learned parameters of the selected first lung-related clinical feature to generate a final lung-related clinical feature analysis for the selected first lung-related clinical feature; and
providing, via a user interface, the generated final lung-related clinical feature analysis for the selected first lung-related clinical feature.