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:
Aug. 17, 2021
Filed:
Mar. 12, 2014
Applicant:
Koninklijke Philips N.v., Eindhoven, NL;
Inventors:
Michael Chun-chieh Lee, Lexington, MA (US);
Robert Manzke, Bönebüttel, DE;
Yuechen Qian, Briarcliff Manor, NY (US);
Eric Cohen-Solal, Ossining, NY (US);
Assignee:
Koninklijke Philips N.V., Eindhoven, NL;
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 5/11 (2006.01); G16H 30/40 (2018.01); G16H 40/63 (2018.01); G16H 30/20 (2018.01); G16H 50/70 (2018.01); G01R 33/567 (2006.01); A61B 6/00 (2006.01); A61B 5/24 (2021.01); G16H 20/70 (2018.01); A61B 5/245 (2021.01); A61B 5/318 (2021.01); A61B 5/369 (2021.01); A61B 5/389 (2021.01);
U.S. Cl.
CPC ...
A61B 5/7292 (2013.01); A61B 5/11 (2013.01); A61B 5/24 (2021.01); A61B 5/721 (2013.01); A61B 5/7242 (2013.01); A61B 5/7267 (2013.01); A61B 5/7275 (2013.01); A61B 6/541 (2013.01); G01R 33/5673 (2013.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 40/63 (2018.01); G16H 50/70 (2018.01); A61B 5/245 (2021.01); A61B 5/318 (2021.01); A61B 5/369 (2021.01); A61B 5/389 (2021.01); G16H 20/70 (2018.01);
Abstract
A system, method and non-transitory computer-readable storage medium for monitoring motion during medical imaging. The monitoring of the motion includes initiating an acquisition of image data, measuring physiological signals of a patient, generating a prediction signal by integrating the physiological signals, determining whether patient motion is likely to occur based on the prediction signal and modifying the acquisition of image data, if it is predicted that patient motion is likely to occur.