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. 13, 2020

Filed:

Jan. 28, 2019
Applicant:

Siemens Healthcare Gmbh, Erlangen, DE;

Inventors:

Yu Zhao, Athens, GA (US);

Yimo Gao, Chester Springs, PA (US);

Shu Liao, Chester Springs, PA (US);

Liang Zhao, Shanghai, CN;

Zhennan Yan, West Windsor, NJ (US);

Yiqiang Zhan, West Chester, PA (US);

Xiang Sean Zhou, Exton, PA (US);

Assignee:

Siemens Healthcare GmbH, Erlangen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/32 (2006.01); G06N 3/04 (2006.01); G06T 7/00 (2017.01); A61B 6/03 (2006.01); G06T 11/00 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6256 (2013.01); A61B 6/03 (2013.01); G06K 9/3233 (2013.01); G06N 3/0454 (2013.01); G06T 7/0014 (2013.01); G06T 11/008 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/10108 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A framework for cross-modality image synthesis. A first and second model may be trained using respective first and second pairs of complementary images and corresponding first and second ground truth images that represent first and second views of a region of interest. The first and second pairs of complementary images may be acquired by a first modality and the first and second ground truth images may be acquired by a second modality. A combinational network may further be trained to combine features from the first and second models. At least one synthetic second modality image may then be generated by passing current images through the trained first or second model and the combinational network, wherein the current images are acquired by the first modality and represent the first or second view of the region of interest.


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