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:
Nov. 08, 2022

Filed:

Mar. 04, 2019
Applicant:

Koninklijke Philips N.v., Eindhoven, NL;

Inventor:

Binyam Gebrekidan Gebre, Rosmalen, NL;

Assignee:

KONINKLIJKE PHILIPS N.V., Eindhoven, NL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 8/08 (2006.01); A61B 8/00 (2006.01); G06T 7/11 (2017.01);
U.S. Cl.
CPC ...
A61B 8/5207 (2013.01); A61B 8/4254 (2013.01); A61B 8/488 (2013.01); G06T 7/11 (2017.01); G06T 2207/10132 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30004 (2013.01); G06T 2207/30168 (2013.01);
Abstract

The invention provides a method for identifying a characteristic of one or more ultrasound images, wherein each image is of a subject imaged by an ultrasound probe using an ultrasound imaging process. The method includes obtaining a manipulation signal indicative of a manipulation of the ultrasound probe during the imaging process. A portion of the manipulation signal, which indicates the manipulation of the probe during a time period, is obtained. The obtained portion is associated with one or more ultrasound images. A neural network system is then used to classify a characteristic of the one or more ultrasound images based on both the obtained portion of the manipulation signal and the one or more images themselves. Such classification comprises applying one or more convolution kernels on the obtained portion of the manipulation signal to generate a convolution output representative of the obtained portion of the manipulation signal, and classifying the convolution output to indicate the characteristic of the one or more ultrasound images associated with the obtained portion.


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