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:
Jun. 25, 2024

Filed:

Mar. 30, 2020
Applicant:

Koninklijke Philips N.v., Eindhoven, NL;

Inventors:

Alvin Chen, Cambridge, MA (US);

Kunal Vaidya, Boston, MA (US);

Brian Lee, Rockville, MD (US);

Vipul Shrihan Pai Raikar, Somerville, MA (US);

Mingxin Zheng, Cambridge, MA (US);

Shyam Bharat, Arlington, MA (US);

Ameet Kumar Jain, Boston, MA (US);

Assignee:

KONINKLIJKE PHILIPS N.V., Eindhoven, NL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 34/20 (2016.01); A61B 8/00 (2006.01); A61B 8/08 (2006.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06T 7/20 (2017.01); G06T 7/70 (2017.01);
U.S. Cl.
CPC ...
G06T 7/0016 (2013.01); A61B 8/0841 (2013.01); A61B 8/461 (2013.01); A61B 8/483 (2013.01); A61B 34/20 (2016.02); G06T 7/11 (2017.01); G06T 7/20 (2013.01); G06T 7/70 (2017.01); A61B 2034/2063 (2016.02); G06T 2207/10132 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30048 (2013.01); G06T 2207/30101 (2013.01);
Abstract

Ultrasound image devices, systems, and methods are provided. An ultrasound imaging system comprising a processor circuit configured to receive, from an ultrasound imaging device, a sequence of input image frames of a moving object over a time period, wherein the moving object comprises at least one of an anatomy of a patient or a medical device traversing through the patient's anatomy, and wherein a portion of the moving object is at least partially invisible in a first input image frame of the sequence of input image frames; apply a recurrent predictive network to the sequence of input image frames to generate segmentation data; and output, to a display, a sequence of output image frames based on the segmentation data, wherein the portion of the moving object is fully visible in a first output image frame of the sequence of output image frames.


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