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:
Feb. 01, 2022
Filed:
Aug. 02, 2018
Applicant:
Koninklijke Philips N. V., Eindhoven, NL;
Inventors:
Anup Agarwal, Mill Creek, WA (US);
Keith William Johnson, Lynnwood, WA (US);
Liang Zhang, Issaquah, WA (US);
Earl M. Canfield, New Braunfels, TX (US);
Assignee:
KONINKLIJKE PHILIPS N.V., Eindhoven, NL;
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/00 (2006.01); G06T 7/246 (2017.01); G16H 50/20 (2018.01); G16H 30/40 (2018.01); A61B 8/08 (2006.01); A61B 8/00 (2006.01); G06K 9/62 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06T 5/20 (2006.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G06T 5/002 (2013.01); A61B 8/085 (2013.01); A61B 8/0891 (2013.01); A61B 8/4254 (2013.01); A61B 8/488 (2013.01); A61B 8/5246 (2013.01); A61B 8/5276 (2013.01); G06K 9/6217 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06T 5/20 (2013.01); G06T 7/0014 (2013.01); G06T 7/246 (2017.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06K 2209/05 (2013.01); G06T 2207/10132 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30101 (2013.01);
Abstract
An ultrasound system with a deep learning neural network feature is used to eliminate haze artifacts in B mode images of the carotid artery by analysis of orthogonal information. In a described implementation the orthogonal information comprises the structural information of a B mode image and motion information of the same field of view as that of the B mode image. In another embodiment the neural network reduces haze artifacts by reducing TGC gain at the depth of artifacts.