The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 10, 2026

Filed:

Nov. 20, 2023
Applicant:

Bfly Operations, Inc., Burlington, MA (US);

Inventors:

Matthew De Jonge, Burlington, MA (US);

Robert Schneider, Burlington, MA (US);

David Elgena, Burlington, MA (US);

Alex Rothberg, Burlington, MA (US);

Jonathan M. Rothberg, Burlington, MA (US);

Michal Sofka, Burlington, MA (US);

Tomer Gafner, Burlington, MA (US);

Karl Thiele, Burlington, MA (US);

Abraham Neben, Burlington, MA (US);

Assignee:

BFLY Operations, Inc., Burlington, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/82 (2022.01); A61B 8/00 (2006.01); A61B 8/02 (2006.01); A61B 8/06 (2006.01); A61B 8/08 (2006.01); G06F 18/2413 (2023.01); G06T 7/00 (2017.01); G06T 7/70 (2017.01); G06T 11/60 (2006.01); G06T 19/00 (2011.01); G06V 10/44 (2022.01); G06V 30/19 (2022.01); G06V 30/194 (2022.01); G06V 40/60 (2022.01); A61B 34/20 (2016.01); A61B 90/00 (2016.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); A61B 8/02 (2013.01); A61B 8/06 (2013.01); A61B 8/065 (2013.01); A61B 8/085 (2013.01); A61B 8/4427 (2013.01); A61B 8/46 (2013.01); A61B 8/52 (2013.01); A61B 8/5207 (2013.01); A61B 8/5223 (2013.01); G06F 18/24133 (2023.01); G06T 7/0012 (2013.01); G06T 7/0014 (2013.01); G06T 7/70 (2017.01); G06T 11/60 (2013.01); G06T 19/006 (2013.01); G06V 10/454 (2022.01); G06V 30/19173 (2022.01); G06V 30/194 (2022.01); G06V 40/67 (2022.01); A61B 8/0833 (2013.01); A61B 8/0883 (2013.01); A61B 8/4263 (2013.01); A61B 8/463 (2013.01); A61B 8/5215 (2013.01); A61B 2034/2065 (2016.02); A61B 2090/365 (2016.02); A61B 2090/378 (2016.02); A61B 2090/3937 (2016.02); G06T 2207/10132 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20221 (2013.01); G06T 2207/30048 (2013.01); G06T 2207/30061 (2013.01); G06T 2210/41 (2013.01); G06V 2201/03 (2022.01);
Abstract

A method includes: obtaining an ultrasound image of an anatomical area from an ultrasound imaging device; inputting the ultrasound image into a first stage of a convolutional neural network, the first stage configured to determine key-point locations of the anatomical area; generating, for each of the key-point locations, a cropped region of the ultrasound image; inputting each of the cropped regions into a second stage of the convolutional neural network, the second stage configured to locate an anatomical landmark of the anatomical area; and outputting a location of the anatomical landmark.


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