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. 07, 2019

Filed:

Jan. 09, 2017
Applicant:

General Electric Company, Schenectady, NY (US);

Inventors:

Camila Patricia Bazilio Nunes, Rio de Janeiro, BR;

Marina Lundgren de Almeida Magalhaes, Rio de Janeiro, BR;

Marcelo Blois Ribeiro, Rio de Janeiro, BR;

Dario Augusto Borges Oliveira, Sao Paulo, BR;

Eudemberg Fonseca Silva, Rio de Janeiro, BR;

Felipe Santos De Andrade, Rio de Janeiro, BR;

Marco Blumenthal, Jena, DE;

Giovanni John Jacques Palma, Issy les Moulineaux, FR;

Serge Louis Wilfrid Mueller, Buc, FR;

Assignee:

GENERAL ELECTRIC COMPANY, Schenectady, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 3/00 (2006.01); G06T 7/00 (2017.01); G06F 19/00 (2018.01); A61B 6/00 (2006.01); G01T 7/00 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 6/4405 (2013.01); A61B 6/502 (2013.01); A61B 6/5258 (2013.01); A61B 6/563 (2013.01); A61B 6/586 (2013.01); G01T 7/00 (2013.01); G06F 19/321 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/30068 (2013.01);
Abstract

The present approach relates to providing image quality feedback to personnel (e.g., a technician) acquiring non-invasive images in real-time or near real-time. By way of example, the proposed approach may automatically assess the quality of images in real-time by evaluating the images for the presence or absence of non-conformities using processor-implemented, rule-based algorithms running partly or completely in parallel to one another. The proposed approach improves the image analysis pipeline by efficiently providing notification of and/or discarding low-quality or unsuitable images or exams after they are taken, such as in within seconds or minutes.


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