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:
May. 06, 2025

Filed:

May. 02, 2022
Applicants:

Fujifilm Sonosite, Inc., Bothell, WA (US);

Mass General Brigham, Boston, MA (US);

Inventors:

Thomas Michael Duffy, Bothell, WA (US);

Davinder S. Dhatt, Bothell, WA (US);

Paul Tomotaro Danset, Bothell, WA (US);

Adam Benjamin Pely, Bothell, WA (US);

Christopher Alexksandr White, Bothell, WA (US);

Diku Pranav Mandavia, Bothell, WA (US);

Quanzheng Li, Belmont, MA (US);

Andrew Liteplo, Chestnut Hill, MA (US);

Kyungsang Kim, Boston, MA (US);

Suzannah McKinney, Boston, MA (US);

Fabiola Macruz, Boston, MA (US);

Assignees:

FUJIFILM SONOSITE, INC., Bothell, WA (US);

MASS GENERAL BRIGHAM, Boston, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 8/08 (2005.12); A61B 8/00 (2005.12); G06T 5/50 (2005.12); G06T 5/70 (2023.12); G06T 7/00 (2016.12); G06T 7/20 (2016.12); G06T 7/55 (2016.12);
U.S. Cl.
CPC ...
A61B 8/085 (2012.12); A61B 8/463 (2012.12); A61B 8/486 (2012.12); A61B 8/5207 (2012.12); G06T 5/50 (2012.12); G06T 5/70 (2023.12); G06T 7/0014 (2012.12); G06T 7/20 (2012.12); G06T 7/55 (2016.12); G06T 2207/10132 (2012.12); G06T 2207/20084 (2012.12); G06T 2207/20212 (2012.12); G06T 2207/30061 (2012.12); G06T 2207/30168 (2012.12);
Abstract

Methods and apparatuses for performing automated detection of lung slide using a computing device (e.g., an ultrasound system, etc.) are disclosed. In some embodiments, the techniques determine lung sliding using one or more neural networks. In some embodiments, the neural networks are part of a process that determines probabilities of the lung sliding at one or more M-lines. In some embodiments, the techniques display one or more probabilities of lung sliding in a B-mode ultrasound image.


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