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:
Aug. 28, 2018

Filed:

Feb. 18, 2017
Applicants:

Roman Schaffert, Nürnberg, DE;

Jian Wang, Forchheim, DE;

Anja Borsdorf, Adelsdorf, DE;

Inventors:

Roman Schaffert, Nürnberg, DE;

Jian Wang, Forchheim, DE;

Anja Borsdorf, Adelsdorf, DE;

Assignee:

Siemens Healthcare GmbH, Erlangen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/37 (2017.01); G06T 7/32 (2017.01); G06T 7/246 (2017.01); G06T 7/269 (2017.01); G06T 7/207 (2017.01); G06T 7/564 (2017.01); G06T 7/38 (2017.01); G06T 7/00 (2017.01); G06T 19/00 (2011.01); G06T 11/00 (2006.01); A61B 6/00 (2006.01);
U.S. Cl.
CPC ...
G06T 7/37 (2017.01); A61B 6/5211 (2013.01); A61B 6/5264 (2013.01); G06T 7/0016 (2013.01); G06T 7/207 (2017.01); G06T 7/248 (2017.01); G06T 7/269 (2017.01); G06T 7/32 (2017.01); G06T 7/38 (2017.01); G06T 7/564 (2017.01); G06T 11/005 (2013.01); G06T 11/006 (2013.01); G06T 19/003 (2013.01); G06T 2200/04 (2013.01); G06T 2200/28 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10121 (2013.01); G06T 2207/20016 (2013.01); G06T 2207/20221 (2013.01); G06T 2207/30008 (2013.01);
Abstract

A method includes, following specification of an initial transformation as a test transformation that is to be optimized, determining a 2D gradient x-ray image and a 3D gradient dataset of the image dataset, carrying out, for each image element of the gradient comparison image, a check for selection as a contour point, and determining an environment best corresponding to a local environment of the contour point and extending around a comparison point in the gradient x-ray image for all contour points in the at least one gradient comparison image. Local 2D displacement information is determined by comparing the contour points with the associated comparison points, and motion parameters of a 3D motion model describing a movement of the target region between the acquisition of the image dataset and the x-ray image are determined from the displacement information and a registration transformation describing the registration.


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