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:
Apr. 28, 2020

Filed:

Apr. 20, 2018
Applicant:

Siemens Healthcare Gmbh, Erlangen, DE;

Inventors:

Tommaso Mansi, Plainsboro, NJ (US);

Felix Meister, Erlangen, DE;

Tiziano Passerini, Plainsboro, NJ (US);

Viorel Mihalef, North Brunswick, NJ (US);

Assignee:

Siemens Healthcare GmbH, Erlangen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/107 (2006.01); G06T 17/10 (2006.01); G06T 7/00 (2017.01); A61B 5/00 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 5/1075 (2013.01); A61B 5/1079 (2013.01); A61B 5/7267 (2013.01); G06T 17/10 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

For soft tissue deformation prediction, a biomechanical or other tissue-related physics model is used to find an instantaneous state of the soft tissue. A machine-learned artificial neural network is applied to predict the position of volumetric elements (e.g., mesh node) from the instantaneous state. Since the machine-learned artificial neural network may predict quickly (e.g., in a second or less), the soft tissue position at different times or a further time given the instantaneous state is provided in real-time without the minutes of physics model computation. For example, a real-time, biomechanical solver is provided, allowing interaction with the soft tissue model, while still getting accurate results. The accuracy allows for generating images of a soft tissue with greater accuracy and/or the benefit of user interaction in real-time.


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