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:
Apr. 02, 2024

Filed:

Oct. 14, 2021
Applicant:

Auris Health, Inc., Redwood City, CA (US);

Inventor:

Menglong Ye, Mountain View, CA (US);

Assignee:

Auris Health, Inc., Redwood City, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 34/30 (2016.01); A61B 1/00 (2006.01); A61B 1/05 (2006.01); A61B 1/267 (2006.01); A61B 5/00 (2006.01); A61B 5/06 (2006.01); A61B 34/20 (2016.01); G06F 18/214 (2023.01); G06F 18/2433 (2023.01); G06T 7/73 (2017.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); A61B 10/02 (2006.01);
U.S. Cl.
CPC ...
A61B 5/066 (2013.01); A61B 1/000096 (2022.02); A61B 1/0002 (2013.01); A61B 1/05 (2013.01); A61B 1/2676 (2013.01); A61B 5/7267 (2013.01); A61B 34/20 (2016.02); G06F 18/214 (2023.01); G06F 18/2433 (2023.01); G06T 7/73 (2017.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); A61B 10/0233 (2013.01); A61B 2034/2051 (2016.02); A61B 2034/301 (2016.02); A61B 2217/005 (2013.01); A61B 2217/007 (2013.01);
Abstract

A system includes one or more processors configured to execute instructions to cause the system to access a plurality of images generated by one or more imaging devices of an endoscope when the endoscope is disposed within anatomy of a patient, for each of the plurality of images, determine a value for each of one or more image reliability metrics, and determine a position of the endoscope within the anatomy of the patient based at least in part on the one or more image reliability metrics of each of the plurality of images.


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