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:
Nov. 21, 2017

Filed:

Mar. 06, 2012
Applicants:

Sasa Grbic, Erlangen, DE;

Razvan Ioan Ionasec, Lawrenceville, NJ (US);

Yang Wang, Princeton, NJ (US);

Bogdan Georgescu, Plainsboro, NJ (US);

Tommaso Mansi, Westfield, NJ (US);

Dorin Comaniciu, Princeton Junction, NJ (US);

Yefeng Zheng, Dayton, NJ (US);

Shaohua Kevin Zhou, Plainsboro, NJ (US);

Matthias John, Nürnberg, DE;

Jan Boese, Eckental, DE;

Inventors:

Sasa Grbic, Erlangen, DE;

Razvan Ioan Ionasec, Lawrenceville, NJ (US);

Yang Wang, Princeton, NJ (US);

Bogdan Georgescu, Plainsboro, NJ (US);

Tommaso Mansi, Westfield, NJ (US);

Dorin Comaniciu, Princeton Junction, NJ (US);

Yefeng Zheng, Dayton, NJ (US);

Shaohua Kevin Zhou, Plainsboro, NJ (US);

Matthias John, Nürnberg, DE;

Jan Boese, Eckental, DE;

Assignee:

Siemens Healthcare GmbH, Erlangen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6289 (2013.01); G06K 9/6211 (2013.01);
Abstract

A method and system for fusion of multi-modal volumetric images is disclosed. A first image acquired using a first imaging modality is received. A second image acquired using a second imaging modality is received. A model and of a target anatomical structure and a transformation are jointly estimated from the first and second images. The model represents a model of the target anatomical structure in the first image and the transformation projects a model of the target anatomical structure in the second image to the model in the first image. The first and second images can be fused based on estimated transformation.


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