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:
Nov. 19, 2019

Filed:

Oct. 17, 2018
Applicant:

Siemens Healthcare Gmbh, Erlangen, DE;

Inventors:

Philipp Seegerer, Fuerstenzell, DE;

Tommaso Mansi, Plainsboro, NJ (US);

Marie-Pierre Jolly, Hillsborough, NJ (US);

Bogdan Georgescu, Plainsboro, NJ (US);

Ali Kamen, Skillman, NJ (US);

Dorin Comaniciu, Princeton Junction, NJ (US);

Roch Mollero, Vallauris, FR;

Tiziano Passerini, Plainsboro, NJ (US);

Assignee:

Siemens Healthcare GmbH, Erlangen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 50/50 (2018.01); A61B 8/08 (2006.01); A61B 5/00 (2006.01); G09B 23/30 (2006.01); G09B 23/28 (2006.01); G06F 17/50 (2006.01); A61B 6/03 (2006.01); A61B 6/00 (2006.01); A61B 5/0452 (2006.01); G06F 19/00 (2018.01); A61B 5/04 (2006.01);
U.S. Cl.
CPC ...
G16H 50/50 (2018.01); A61B 5/0044 (2013.01); A61B 5/0452 (2013.01); A61B 6/032 (2013.01); A61B 6/5235 (2013.01); A61B 6/5247 (2013.01); A61B 8/0883 (2013.01); G06F 17/5009 (2013.01); G06F 19/00 (2013.01); G09B 23/288 (2013.01); G09B 23/30 (2013.01); A61B 5/004 (2013.01); A61B 5/04 (2013.01); A61B 2576/023 (2013.01);
Abstract

Methods and systems for estimating patient-specific cardiac electrical properties from medical image data and non-invasive electrocardiography measurements of a patient are disclosed. A patient-specific anatomical heart model is generated from medical image data of a patient. Patient-specific cardiac electrical properties are estimated by simulating cardiac electrophysiology over time in the patient-specific anatomical heart model using a computational cardiac electrophysiology model and adjusting cardiac electrical parameters based on the simulation results and the non-invasive electrocardiography measurements. A patient-specific cardiac electrophysiology model with the patient-specific cardiac electrical parameters can then be used to perform virtual cardiac electrophysiology interventions for planning and guidance of cardiac electrophysiology interventions.


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