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. 11, 2023

Filed:

Dec. 22, 2020
Applicants:

Gabriel Fine, Salt Lake City, UT (US);

Nathan Silberman, Brooklyn, NY (US);

Inventors:

Gabriel Fine, Salt Lake City, UT (US);

Nathan Silberman, Brooklyn, NY (US);

Assignee:

Other;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/70 (2017.01); G06T 7/00 (2017.01); A61B 34/10 (2016.01); A61B 34/20 (2016.01); G16H 30/20 (2018.01); G06K 9/62 (2022.01); G06T 7/73 (2017.01); G16H 50/50 (2018.01); G06N 3/04 (2023.01); G16H 40/63 (2018.01); G16H 30/40 (2018.01); G06N 3/08 (2023.01); G06V 30/194 (2022.01); G06N 20/00 (2019.01); A61B 90/00 (2016.01); A61F 2/01 (2006.01);
U.S. Cl.
CPC ...
G06T 7/70 (2017.01); A61B 34/10 (2016.02); A61B 34/20 (2016.02); G06K 9/6273 (2013.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06T 7/0016 (2013.01); G06T 7/75 (2017.01); G06V 30/194 (2022.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 40/63 (2018.01); G16H 50/50 (2018.01); A61B 2034/102 (2016.02); A61B 2034/2051 (2016.02); A61B 2034/2065 (2016.02); A61B 2090/367 (2016.02); A61B 2090/376 (2016.02); A61F 2/01 (2013.01); A61F 2/0105 (2020.05); G06N 20/00 (2019.01); G06T 2207/10072 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/10121 (2013.01); G06T 2207/10132 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30021 (2013.01);
Abstract

A system and method is disclosed for automatically determining position information for an invasive medical device based on imaging data. An imaging device can generate 2D images of the invasive medical device within the patient from a vantage point relative to the patient. A trained model for the invasive medical device can be trained on annotated 2D images of the invasive medical device with position information. An imaging computer system can apply the trained model to unannotated 2D images of the invasive medical device within the patient to determine a current position of the invasive medical device. The 2D images of the invasive medical device and visual position information representing the current position of the invasive medical device can be outputted to a display.


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