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:
Dec. 22, 2020

Filed:

Mar. 02, 2016
Applicant:

Koninklijke Philips N.v., Eindhoven, NL;

Inventors:

Olivier Pierre Nempont, Suresnes, FR;

Guillaume Julien Joseph Pizaine, Issy-les-Moulineaux, FR;

Raoul Florent, Ville d'Avray, FR;

Assignee:

KONINKLIJKE PHILIPS N.V., Eindhoven, NL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 6/12 (2006.01); A61B 6/00 (2006.01); G06T 7/246 (2017.01); A61B 34/20 (2016.01); G06T 7/00 (2017.01); A61B 90/00 (2016.01); A61M 25/09 (2006.01);
U.S. Cl.
CPC ...
A61B 6/12 (2013.01); A61B 6/461 (2013.01); A61B 6/487 (2013.01); A61B 6/504 (2013.01); A61B 34/20 (2016.02); G06T 7/0012 (2013.01); G06T 7/246 (2017.01); A61B 2034/2065 (2016.02); A61B 2090/363 (2016.02); A61M 2025/09166 (2013.01); G06K 2209/057 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/10121 (2013.01); G06T 2207/30021 (2013.01); G06T 2207/30104 (2013.01);
Abstract

A method and device is proposed for automatic detection of an event in which a device is leaving a stable position relative to and within an anatomy. The method comprises the steps of receiving a sequence of fluoroscopic images, detecting a device in at least two of the fluoroscopic images, determining a motion field of the detected device in the sequence of fluoroscopic images, generating a sequence of integrated images by integrating the sequence of fluoroscopic images taking into consideration the motion field, determining a saliency metric based on the integrated images, identifying a landmark in the integrated images based on the saliency metric, and determining as to whether the landmark is moving relative to the device, based on a variation of the saliency metric.


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