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:
Jul. 06, 2021

Filed:

Aug. 29, 2019
Applicant:

Siemens Healthcare Gmbh, Erlangen, DE;

Inventors:

Alexandru Turcea, Buşteni, RO;

Costin Florian Ciusdel, Azuga, RO;

Lucian Mihai Itu, Brasov, RO;

Mehmet Akif Gulsun, Princeton, NJ (US);

Tiziano Passerini, Plainsboro, NJ (US);

Puneet Sharma, Princeton Junction, NJ (US);

Assignee:

Siemens Healthcare GmbH, Erlangen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G16H 30/40 (2018.01); G06N 3/08 (2006.01); A61B 6/00 (2006.01); A61B 5/00 (2006.01); A61B 5/021 (2006.01); A61B 5/026 (2006.01); A61B 5/352 (2021.01);
U.S. Cl.
CPC ...
A61B 6/504 (2013.01); A61B 5/021 (2013.01); A61B 5/0263 (2013.01); A61B 5/352 (2021.01); A61B 5/7264 (2013.01); A61B 5/7267 (2013.01); A61B 6/485 (2013.01); G06N 3/08 (2013.01); G06T 7/0016 (2013.01); G16H 30/40 (2018.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30048 (2013.01);
Abstract

A first sequence of cardiac image frames are received by a first neural network of the neural network system. The first neural network outputs a first set of feature values. The first set of feature values includes a plurality of data subsets, each corresponding to a respective image frame and relating to spatial features of the respective image frame. The first set of feature values are received at a second neural network of the neural network system. The second neural network outputs a second set of feature values relating to temporal features of the spatial features. Based on the second set of feature values, a cardiac phase value relating to a cardiac phase associated with a first image frame is determined.


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