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:
Aug. 04, 2020

Filed:

May. 25, 2016
Applicant:

Sony Corporation, Tokyo, JP;

Inventors:

Daisuke Kikuchi, Kanagawa, JP;

Takami Mizukura, Kanagawa, JP;

Tsuneo Hayashi, Tokyo, JP;

Assignee:

SONY CORPORATION, Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 1/00 (2006.01); A61B 5/00 (2006.01); G06T 7/215 (2017.01); A61B 90/00 (2016.01); A61B 18/14 (2006.01); A61B 1/04 (2006.01); A61B 90/20 (2016.01); A61B 1/313 (2006.01); A61B 5/02 (2006.01); A61B 5/024 (2006.01); A61B 5/11 (2006.01); A61B 17/34 (2006.01); A61B 17/00 (2006.01); A61B 34/20 (2016.01);
U.S. Cl.
CPC ...
A61B 1/00009 (2013.01); A61B 1/04 (2013.01); A61B 1/3132 (2013.01); A61B 5/024 (2013.01); A61B 5/02007 (2013.01); A61B 5/02042 (2013.01); A61B 5/1128 (2013.01); A61B 5/489 (2013.01); A61B 5/7289 (2013.01); A61B 17/3423 (2013.01); A61B 17/3474 (2013.01); A61B 18/14 (2013.01); A61B 90/20 (2016.02); A61B 90/361 (2016.02); A61B 90/37 (2016.02); G06T 7/215 (2017.01); A61B 2017/00119 (2013.01); A61B 2017/00699 (2013.01); A61B 2017/00703 (2013.01); A61B 2017/00973 (2013.01); A61B 2034/2065 (2016.02); A61B 2090/364 (2016.02); A61B 2090/373 (2016.02); G06T 2207/30048 (2013.01);
Abstract

The present disclosure relates to an image processing device, an image processing method, and a surgical system that enable detection of a region including a specific living body site in an intraoperative image on the basis of a frequency of a motion vector of a living body in the intraoperative image. A motion detection unit detects the motion vector of the living body in the intraoperative image using the intraoperative images at different times. The analysis unit obtains the frequency of the motion vector detected by the motion detection unit. A frequency map generation unit detects the region including the specific living body site in the intraoperative image on the basis of the frequency obtained by the analysis unit. The present disclosure is applicable to, for example, a CCU and the like of an endoscopic surgical system.


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