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.:
Date of Patent:
Apr. 07, 2026
Filed:
Jun. 09, 2022
Applicant:
Koninklijke Philips N.v., Eindhoven, NL;
Inventor:
Liran Goshen, Perdes-Hanna, IL;
Assignee:
KONINKLIJKE PHILIPS N.V., Eindhoven, NL;
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); A61B 6/00 (2024.01); A61B 6/03 (2006.01); A61B 6/46 (2024.01);
U.S. Cl.
CPC ...
G06T 7/0014 (2013.01); A61B 6/032 (2013.01); A61B 6/461 (2013.01); A61B 6/5205 (2013.01); A61B 6/54 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20224 (2013.01);
Abstract
A mechanism for identifying potential areas of clinical relevance that are not readily visible in non-spectral CT image data. The non-spectral CT image data is processed using a machine-learning method to produce predicted spectral CT image data. The predicted spectral CT image data is compared to (actual) spectral CT image data to identify any differences between the two. Any identified differences are used to control an alert signal, for instance, to draw a clinician or other user's attention to possible areas of clinical relevance that are not readily visible in the non-spectral CT image data.