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:
May. 20, 2025

Filed:

Jun. 08, 2022
Applicant:

GE Precision Healthcare Llc, Wauwatosa, WI (US);

Inventors:

Jorge Hernandez Londono, Versailles, FR;

Vincent Morard, Chassieu, FR;

Assignee:

GE Precision Healthcare LLC, Wauwatosa, WI (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G16H 30/40 (2018.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06V 10/25 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06V 10/25 (2022.01); G06V 10/82 (2022.01); G06T 2200/24 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Presently disclosed are systems and methods for extrapolating a predictive two-dimensional (2D) segmentation to indicate a predicted region of interest (ROI) in a 2D medical image frame rendered from a set of three-dimensional (3D) medical scan data, wherein the predictive segmentation is based on a user-defined 2D segmentation that annotates the ROI in another image frame rendered from the 3D medical scan data. Present embodiments can utilize a user-defined or user-modified 2D segmentation of a frame to extrapolate predicted 2D segmentations for all of the other frames within a set of 3D medical scan data. This enables present embodiments to effectively annotate the ROI in a series of 2D medical image frames with minimal input from a clinician, reducing the amount of time the clinician spends analyzing the 3D medical scan data.


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