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.
Patent No.:
Date of Patent:
Mar. 12, 2024
Filed:
Sep. 23, 2021
Applicant:
Siemens Healthineers Ag, Forchheim, DE;
Inventor:
Li Zhang, Princeton, NJ (US);
Assignee:
Siemens Healthineers AG, Forchheim, DE;
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); G06T 3/00 (2006.01); G06T 7/00 (2017.01); G06T 7/30 (2017.01); G06T 7/33 (2017.01);
U.S. Cl.
CPC ...
A61B 5/004 (2013.01); A61B 5/0035 (2013.01); A61B 5/0037 (2013.01); G06T 7/30 (2017.01); G06T 7/33 (2017.01); G06T 7/337 (2017.01); G06T 3/0068 (2013.01); G06T 3/0093 (2013.01); G06T 7/0016 (2013.01); G06T 2207/30004 (2013.01);
Abstract
A deep machine-learning approach is used for medical image fusion by a medical imaging system. This one approach may be used for different applications. For a given application, the same deep learning is used but with different application-specific training data. The resulting deep-learnt classifier provides a reduced feature vector in response to input of intensities of one image and displacement vectors for patches of the one image relative to another image. The output feature vector is used to determine the deformation for medical image fusion.