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:
Jul. 09, 2024

Filed:

Mar. 20, 2019
Applicant:

Koninklijke Philips N.v., Eindhoven, NL;

Inventors:

Prescott Peter Klassen, Cambridge, MA (US);

Lyubomir Georgiev Zagorchev, Burlington, MA (US);

Assignee:

KONINKLIJKE PHILIPS N.V., Eindhoven, NL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06V 20/62 (2022.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
G06V 20/62 (2022.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01);
Abstract

Systems and methods for magnetic resonance (MR) examination are provided. In an embodiment, a method for MR examination includes receiving, at a computing device in communication with a magnetic resonance imaging (MRI) device, MR data of a patient body comprising a plurality of anatomical structures, the plurality of anatomical structures including a region of interest, segmenting, by the computing device, the MR data to obtain geometries of the plurality of anatomical structures, receiving, at the computing device, a report comprising text descriptions representative of the plurality of anatomical structures, associating, by the computing device, the text descriptions with respective geometries of the plurality of anatomical structures, identifying, by the computing device, the text descriptions associated with anatomical structures within or outside of the region of interest; and outputting, by the computing device, a graphical representation based on the identified text descriptions associated with anatomical structures within or outside of the region of interest.


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