logo

For the Inventor, By the Inventor

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.

Patent No.:

US 11789104 B1

PDFFull Text
Date of Patent:
Oct. 17, 2023

Filed:

Aug. 15, 2019

Deep learning techniques for suppressing artefacts in magnetic resonance images

Applicant:

Hyperfine Operations, Inc., Guilford, CT (US);

Inventors:

Carole Lazarus, Paris, FR;

Prantik Kundu, Branford, CT (US);

Sunli Tang, New York, NY (US);

Seyed Sadegh Mohseni Salehi, Bloomfield, NJ (US);

Michal Sofka, Princeton, NJ (US);

Jo Schlemper, Long Island City, NY (US);

Hadrien A. Dyvorne, New York, NY (US);

Rafael O'Halloran, Guilford, CT (US);

Laura Sacolick, Guilford, CT (US);

Michael Stephen Poole, Guilford, CT (US);

Jonathan M. Rothberg, Miami Beach, FL (US);

Assignee:

Hyperfine Operations, Inc., Guilford, CT (US);

Attorney:

Foley & Lardner LLP

Primary Examiner:

John Villecco

Assistant Examiner:

Han Hoang

Int. Cl.
CPC ...
G06V 10/30 (2022.01); G01R 33/56 (2006.01); G06T 5/00 (2006.01); G06N 3/045 (2023.01); G06V 10/764 (2022.01); G06V 10/772 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 10/44 (2022.01);
U.S. Cl.
CPC ...
G01R 33/5608 (2013.01); G06N 3/045 (2023.01); G06T 5/002 (2013.01); G06V 10/30 (2022.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 10/772 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Techniques for removing artefacts, such as RF interference and/or noise, from magnetic resonance data. The techniques include: obtaining input magnetic resonance (MR) data using at least one radio-frequency (RF) coil of a magnetic resonance imaging (MRI) system; and generating an MR image from input MR data at least in part by using a neural network model to suppress at least one artefact in the input MR data.

Find Patent Forward Citations

Loading…