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:
Sep. 24, 2024

Filed:

Feb. 21, 2020
Applicant:

Koninklijke Philips N.v., Eindhoven, NL;

Inventors:

Grzegorz Andrzej Toporek, Cambridge, MA (US);

Marcin Arkadiusz Balicki, Cambridge, MA (US);

Aleksandra Popovic, Boston, MA (US);

Assignee:

KONINKLIJKE PHILIPS N.V., Eindhoven, NL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 34/20 (2016.01); A61B 8/12 (2006.01); A61B 34/30 (2016.01); A61B 90/00 (2016.01); B25J 9/16 (2006.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/047 (2023.01); G06N 3/08 (2023.01); G06N 3/084 (2023.01); G06T 7/246 (2017.01); G06T 7/70 (2017.01); G16H 20/40 (2018.01); G16H 30/20 (2018.01); A61B 34/10 (2016.01);
U.S. Cl.
CPC ...
A61B 34/20 (2016.02); A61B 8/12 (2013.01); A61B 34/30 (2016.02); A61B 90/37 (2016.02); B25J 9/1607 (2013.01); B25J 9/1697 (2013.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/047 (2023.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01); G06T 7/246 (2017.01); G06T 7/70 (2017.01); G16H 20/40 (2018.01); G16H 30/20 (2018.01); A61B 2034/107 (2016.02); A61B 2034/2061 (2016.02); A61B 2034/2065 (2016.02); A61B 2034/301 (2016.02); A61B 2090/378 (2016.02); G06T 2207/20084 (2013.01); G06T 2207/30244 (2013.01);
Abstract

A positioning controller () including an imaging predictive model () and inverse control predictive model (). In operation, the controller () applies the imaging predictive model () to imaging data generated by an imaging device () to render a predicted navigated pose of the imaging device (), and applies the control predictive model () to error positioning data derived from a differential aspect between a target pose of the imaging device () and the predicted navigated pose of the imaging device () to render a predicted corrective positioning motion of the imaging device () (or a portion of the interventional device associated with this imaging device) to the target pose. From the predictions, the controller () further generates continuous positioning commands controlling a corrective positioning by the interventional device () of the imaging device () (or said portion of interventional device) to the target pose based on the predicted corrective positioning motion of the interventional device ().


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