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. 07, 2020

Filed:

Jul. 05, 2017
Applicant:

Siemens Healthcare Gmbh, Erlangen, DE;

Inventors:

Dorin Comaniciu, Princeton Junction, NJ (US);

Thomas Pheiffer, Langhorne, PA (US);

David Liu, Richardson, TX (US);

Ankur Kapoor, Plainsboro, NJ (US);

Tommaso Mansi, Plainsboro, NJ (US);

Assignee:

Siemens Healthcare GmbH, Erlangen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 34/10 (2016.01); G06F 19/00 (2018.01); G06T 11/00 (2006.01); A61B 18/00 (2006.01); A61B 5/055 (2006.01); A61B 5/00 (2006.01); A61B 8/08 (2006.01); G16H 50/30 (2018.01); G16H 50/50 (2018.01); A61B 18/12 (2006.01); A61B 18/02 (2006.01); A61N 7/00 (2006.01); G06T 7/00 (2017.01); G16H 30/40 (2018.01); G16H 40/63 (2018.01); G06K 9/62 (2006.01); A61B 6/03 (2006.01); G06T 7/11 (2017.01); A61N 5/10 (2006.01); A61B 5/026 (2006.01);
U.S. Cl.
CPC ...
A61B 34/10 (2016.02); A61B 5/0035 (2013.01); A61B 5/055 (2013.01); A61B 5/4244 (2013.01); A61B 8/485 (2013.01); A61B 18/00 (2013.01); A61B 18/02 (2013.01); A61B 18/12 (2013.01); A61N 7/00 (2013.01); G06F 19/321 (2013.01); G06K 9/6289 (2013.01); G06T 7/0012 (2013.01); G06T 11/003 (2013.01); G16H 30/40 (2018.01); G16H 40/63 (2018.01); G16H 50/30 (2018.01); G16H 50/50 (2018.01); A61B 5/0263 (2013.01); A61B 6/03 (2013.01); A61B 8/5223 (2013.01); A61B 2018/00529 (2013.01); A61B 2018/00535 (2013.01); A61B 2018/00577 (2013.01); A61B 2034/104 (2016.02); A61B 2034/105 (2016.02); A61N 5/1002 (2013.01); A61N 5/103 (2013.01); G06K 9/6256 (2013.01); G06K 9/6267 (2013.01); G06K 2209/051 (2013.01); G06T 7/11 (2017.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/30024 (2013.01); G06T 2207/30056 (2013.01); G06T 2207/30096 (2013.01); G06T 2210/41 (2013.01);
Abstract

For liver modeling from medical scan data, multiple modalities of imaging are used. By using multiple modalities of imaging in combination with generative modeling, a more comprehensive and informed assessment may be performed. The generative modeling may allow feedback of effects of proposed therapy on function of the liver. This feedback is used to update the liver function information based on the imaging. Based on the computerized modeling with information from various imaging modes, an output based on more comprehensive information and patient personalized modeling and feedback may be provided to assist the physician.


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