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. 21, 2026

Filed:

Sep. 25, 2018
Applicant:

Siemens Healthineers Ag, Forchheim, DE;

Inventors:

Viorel Mihalef, North Brunswick, NJ (US);

Saikiran Rapaka, Pennington, NJ (US);

Assignee:

Siemens Healthineers AG, Forchheim, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 34/10 (2016.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01);
U.S. Cl.
CPC ...
A61B 34/10 (2016.02); G16H 50/20 (2018.01); A61B 2034/104 (2016.02); A61B 2034/108 (2016.02); G16H 50/30 (2018.01);
Abstract

A vascular implant decision support uses a medical imaging system. A physics-based model of the endovascular implant is used to simulate deployment in a vessel model of a patient based on medical imaging. A porosity of the deployed implant and the simulation are used to determine a value for each of one or more hemodynamic parameters to support the decision for endovascular treatment. A machine-learned network uses patient-specific information to select the endovascular implant, placement, and/or other implant configuration used to simulate deployment and/or to predict outcome from deployment for the patient. The clinician may use the decision support to select among options for implanting and/or to confirm adequacy of a plan. Various of these approaches may be used alone or in combination.


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