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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 12050256 B1

PDFFull Text
Date of Patent:
Jul. 30, 2024

Filed:

Jul. 09, 2020

Systems and methods for automated detection in magnetic resonance images

Applicant:

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

Inventors:

Michal Sofka, Princeton, NJ (US);

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

Gregory L. Charvat, Guilford, CT (US);

Tyler S. Ralston, Clinton, CT (US);

Assignee:

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

Attorney:

Foley & Lardner LLP

Primary Examiner:

Joseph M Santos Rodriguez

Int. Cl.
CPC ...
G01R 33/00 (2006.01); A61B 5/00 (2006.01); A61B 5/055 (2006.01); G01R 33/38 (2006.01); G01R 33/44 (2006.01); G01R 33/48 (2006.01); G01R 33/483 (2006.01); G01R 33/56 (2006.01); G06F 18/2411 (2023.01); G06F 18/2413 (2023.01); G06T 7/00 (2017.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G01R 33/383 (2006.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G01R 33/5608 (2013.01); A61B 5/0042 (2013.01); A61B 5/055 (2013.01); A61B 5/4064 (2013.01); A61B 5/7267 (2013.01); G01R 33/3806 (2013.01); G01R 33/445 (2013.01); G01R 33/4806 (2013.01); G01R 33/483 (2013.01); G06F 18/2411 (2023.01); G06F 18/24143 (2023.01); G06T 7/0012 (2013.01); G06T 7/0016 (2013.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); A61B 2576/026 (2013.01); G01R 33/383 (2013.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20092 (2013.01); G06T 2207/20212 (2013.01); G06T 2207/30016 (2013.01); G06T 2207/30101 (2013.01); G06T 2207/30172 (2013.01); G06V 2201/031 (2022.01);
Abstract

Some aspects include a method of determining change in size of an abnormality in a brain of a patient positioned within a low-field magnetic resonance imaging (MRI) device. The method comprises, while the patient remains positioned within the low-field MRI device, acquiring first and second magnetic resonance (MR) image data of the patient's brain; providing the first and second MR image data as input to a trained statistical classifier to obtain corresponding first and second output; identifying, using the first output, at least one initial value of at least one feature indicative of a size of the abnormality; identifying, using the second output, at least one updated value of the at least one feature; determining the change in the size of the abnormality using the at least one initial value of the at least one feature and the at least one updated value of the at least one feature.

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