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.
Patent No.:
Date of Patent:
May. 13, 2025
Filed:
Aug. 24, 2023
Applicant:
Auris Health, Inc., Santa Clara, CA (US);
Inventor:
Ritwik Ummalaneni, San Mateo, CA (US);
Assignee:
Auris Health, Inc., Santa Clara, CA (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); A61B 5/06 (2006.01); A61B 6/04 (2006.01); A61B 6/12 (2006.01); A61B 34/00 (2016.01); A61B 34/20 (2016.01); A61B 34/30 (2016.01); B25J 9/16 (2006.01); A61B 6/00 (2006.01); A61B 6/03 (2006.01); A61B 6/10 (2006.01); A61B 6/46 (2024.01); A61B 17/00 (2006.01); A61B 34/10 (2016.01); A61B 90/00 (2016.01); A61B 90/30 (2016.01);
U.S. Cl.
CPC ...
A61B 34/20 (2016.02); A61B 5/06 (2013.01); A61B 5/062 (2013.01); A61B 6/0487 (2020.08); A61B 6/12 (2013.01); A61B 34/30 (2016.02); A61B 34/70 (2016.02); B25J 9/1694 (2013.01); A61B 6/032 (2013.01); A61B 6/102 (2013.01); A61B 6/4441 (2013.01); A61B 6/463 (2013.01); A61B 6/466 (2013.01); A61B 6/487 (2013.01); A61B 6/488 (2013.01); A61B 2017/00477 (2013.01); A61B 2017/00809 (2013.01); A61B 2034/105 (2016.02); A61B 2034/2051 (2016.02); A61B 2034/2065 (2016.02); A61B 2034/301 (2016.02); A61B 2090/306 (2016.02); A61B 2090/309 (2016.02); A61B 2090/3614 (2016.02);
Abstract
Certain aspects relate to systems and techniques for navigation-assisted medical devices. Some aspects relate to correlating features of depth information generated based on captured images of an anatomical luminal network with virtual features of depth information generated based on virtual images of a virtual representation of the anatomical luminal network in order to automatically determine aspects of a roll of a medical device within the luminal network.