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:
Oct. 01, 2024

Filed:

May. 01, 2019
Applicant:

Koninklijke Philips N.v., Eindhoven, NL;

Inventors:

Vaitheeswaran Ranganathan, Bangalore, IN;

Saravanan Karunanithi, Chennai, IN;

Rohinee Nuggehalli Ashwinee Kumar, Bangalore, IN;

Bojarajan Perumal, Bangalore, IN;

Assignee:

KONINKLIJKE PHILIPS N.V., Eindhoven, NL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); A61B 5/00 (2006.01); A61B 6/00 (2006.01); G06T 7/00 (2017.01); G06T 7/33 (2017.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); A61B 5/055 (2006.01); A61B 6/03 (2006.01);
U.S. Cl.
CPC ...
G06T 7/337 (2017.01); A61B 5/0035 (2013.01); A61B 5/004 (2013.01); A61B 5/7267 (2013.01); A61B 6/5247 (2013.01); G06T 7/0012 (2013.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); A61B 5/055 (2013.01); A61B 6/037 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10132 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20221 (2013.01); G06T 2207/30096 (2013.01);
Abstract

Described are various embodiments of systems, devices, methods, and computer readable mediums related to image fusion of lower resolution (LR) images and higher resolution (HR) reference images of an object in a body. In an example embodiment of a method, the method comprises determining specific image scanning geometries used for acquiring LR images based on an ML algorithm that uses at least one feature in at least one region of interest in the respective LR images as input. The method further comprises generating image scanning geometry matching oblique HR images based on HR reference images and the determined specific image scanning geometries used for acquiring the respective LR images and registering the oblique HR images with the LR images to generate registered HR images. Current feature information is extracted from the LR images and mapped on corresponding feature information in the registered HR images to generate fusion images.


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