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, 2019

Filed:

Dec. 02, 2015
Applicant:

Koninklijke Philips N.v., Eindhoven, NL;

Inventors:

Sven Kabus, Hamburg, DE;

Heike Carolus, Hamburg, DE;

Holger Schmitt, Luetjensee, DE;

Assignee:

KONINKLIJKE PHILIPS N.V., Eindhoven, NL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 7/35 (2017.01); G06T 11/00 (2006.01); G06T 7/38 (2017.01); G06T 7/33 (2017.01);
U.S. Cl.
CPC ...
G06T 7/0016 (2013.01); G06T 7/344 (2017.01); G06T 7/35 (2017.01); G06T 7/38 (2017.01); G06T 11/00 (2013.01); G06T 11/008 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20221 (2013.01); G06T 2210/41 (2013.01); G06T 2211/412 (2013.01);
Abstract

A method generates and uses a correspondence probability map for visualization of two image datasets. The method includes obtaining two image datasets and obtaining an image registration algorithm that includes a correspondence model. The method further includes registering the two image datasets to generate a displacement vector field and generating a correspondence probability map, using the correspondence model, based on the two image datasets. The method further includes using the correspondence probability map to visualize the two image datasets. A computing system () includes a memory device () configured to store instructions, including a visualization module (), and a processor () that executes the instructions, which causes the processor to generate and employ a correspondence probability map for visualization of two image datasets.


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