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:
Dec. 05, 2023

Filed:

Dec. 22, 2017
Applicant:

The Johns Hopkins University, Baltimore, MD (US);

Inventors:

Muyinatu Bell, Towson, MD (US);

Austin Reiter, Severna Park, MD (US);

Assignee:

The Johns Hopkins University, Baltimore, MD (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 8/08 (2006.01); G06N 3/08 (2023.01); A61B 8/00 (2006.01); G06T 5/00 (2006.01); G06N 3/084 (2023.01); G06N 3/045 (2023.01); G06N 20/00 (2019.01); A61B 34/20 (2016.01);
U.S. Cl.
CPC ...
A61B 5/7267 (2013.01); A61B 5/0095 (2013.01); A61B 5/7203 (2013.01); A61B 5/7425 (2013.01); A61B 8/463 (2013.01); A61B 8/5207 (2013.01); A61B 8/5269 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01); G06T 5/002 (2013.01); A61B 2034/2063 (2016.02); G06N 20/00 (2019.01); G06T 2207/10132 (2013.01);
Abstract

An embodiment according to the present invention includes a method for a machine-learning based approach to the formation of ultrasound and photoacoustic images. The machine-learning approach is used to reduce or remove artifacts to create a new type of high-contrast, high-resolution, artifact-free image. The method of the present invention uses convolutional neural networks (CNNs) to determine target locations to replace the geometry-based beamforming that is currently used. The approach is extendable to any application where beamforming is required, such as radar or seismography.


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