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:
Feb. 16, 2021

Filed:

Jul. 11, 2018
Applicant:

Brainlab Ag, Munich, DE;

Inventors:

Sebastian Stopp, Munich, DE;

Johannes Manus, Munich, DE;

Assignee:

BRAINLAB AG, Munich, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 34/20 (2016.01); H04N 5/247 (2006.01); H04N 13/204 (2018.01); A61B 46/20 (2016.01); A61B 90/20 (2016.01); G06T 7/292 (2017.01); G06T 7/246 (2017.01); G06T 7/00 (2017.01); A61B 90/00 (2016.01);
U.S. Cl.
CPC ...
A61B 34/20 (2016.02); A61B 46/20 (2016.02); A61B 90/20 (2016.02); G06T 7/0012 (2013.01); G06T 7/246 (2017.01); G06T 7/292 (2017.01); H04N 5/247 (2013.01); H04N 13/204 (2018.05); A61B 2034/2057 (2016.02); A61B 2034/2065 (2016.02); A61B 2090/364 (2016.02); A61B 2090/371 (2016.02); A61B 2090/3937 (2016.02); G06T 2207/10012 (2013.01); G06T 2207/10056 (2013.01); G06T 2207/30204 (2013.01);
Abstract

A computer implemented method and a system for registering and tracking an anatomical structure of a patient. A method includes acquiring a first stereoscopic image dataset including video images having different viewing angles, and providing a first image content showing the anatomical structure; registering the first image dataset to a 3D image dataset showing the anatomical structure; acquiring a second stereoscopic image dataset comprising video images having different viewing angles and providing a second image content showing the anatomical structure, which differs from the first image content; and tracking the anatomical structure based on the second image dataset.


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