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. 26, 2023

Filed:

Oct. 09, 2018
Applicant:

Koninklijke Philips N.v., Eindhoven, NL;

Inventors:

Sindhu Priyadarshini Nellur Prakash, Bangalore, IN;

Ganesan Ramachandran, Bangalore, IN;

Anumod Odungattu Thodiyil, Bangalore, IN;

Sanjay Ramachandra Hegde, Bangalore, IN;

Pallavi Vajinepalli, Bangalore, IN;

Celine Firtion, Surat, IN;

Assignee:

KONINKLIJKE PHILIPS N.V., Eindhoven, NL;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 8/08 (2006.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); G06N 20/00 (2019.01); A61B 8/00 (2006.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
A61B 8/085 (2013.01); A61B 8/465 (2013.01); A61B 8/5223 (2013.01); G06N 20/00 (2019.01); G06T 7/0012 (2013.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01);
Abstract

The present disclosure describes ultrasound imaging systems and methods configured to identify ovarian follicles by applying a neural network to pre-processed ultrasound image frames. Systems may include an ultrasound transducer configured to acquire echo signals responsive to ultrasound pulses transmitted toward a target region. One or more processors communicatively coupled with the ultrasound transducer may be configured to generate at least one image from the ultrasound echoes. A threshold may be applied to the image frame that differentiates pixels representative of an ovarian follicle present in the target region from other subject matter. The processors may apply a neural network to the thresholded image frame, in which the neural network determines the presence of the ovarian follicle in the thresholded image frame. The processors also may generate an indicator based on the presence of the ovarian follicle and display the indicator on a user interface.


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