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. 02, 2025

Filed:

May. 13, 2020
Applicant:

Eos Imaging, Paris, FR;

Inventors:

Benjamin Aubert, Québec, CA;

Nasr Makni, Ferney Voltaire, FR;

Thierry Cresson, Ottawa, CA;

Carlos Alberto Vazquez Hidalgo Gato, Québec, CA;

Jacques A. De Guise, Québec, CA;

Assignee:

EOS IMAGING, Paris, FR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06N 3/0464 (2023.01); G06T 7/00 (2017.01); G06T 7/10 (2017.01); G06T 11/00 (2006.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
G06T 11/008 (2013.01); G06N 3/0464 (2023.01); G06T 7/0014 (2013.01); G06T 7/10 (2017.01); G16H 30/40 (2018.01); G06T 2207/10124 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30012 (2013.01);
Abstract

Disclosed is a medical imaging conversion method, automatically converting: at least one or more real x-ray images of a patient, including at least a first anatomical structure of the patient and a second anatomical structure of the patient, into at least one digitally reconstructed radiograph (DRR) of the patient representing the first anatomical structure without representing the second anatomical structure, by a single operation using either one convolutional neural network (CNN) or a group of convolutional neural networks (CNN) which is preliminarily trained to, both or simultaneously: differentiate the first anatomical structure from the second anatomical structure, and convert a real x-ray image into at least one digitally reconstructed radiograph (DRR).


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