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. 26, 2022

Filed:

Jan. 30, 2019
Applicant:

Medtronic Ardian Luxembourg S.a.r.l., Luxembourg, LU;

Inventors:

Douglas Hettrick, Andover, MN (US);

Julie Trudel, Santa Rosa, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 34/10 (2016.01); A61B 5/02 (2006.01); A61B 5/0215 (2006.01); A61B 5/022 (2006.01); A61B 5/026 (2006.01); A61B 5/0538 (2021.01); A61B 5/055 (2006.01); A61B 5/00 (2006.01); A61B 6/03 (2006.01); A61B 6/00 (2006.01); A61B 8/06 (2006.01); A61B 8/08 (2006.01); A61B 18/02 (2006.01); A61B 18/14 (2006.01); A61N 1/05 (2006.01); A61N 1/36 (2006.01); A61B 18/00 (2006.01); A61B 34/20 (2016.01); A61B 34/00 (2016.01); A61B 90/00 (2016.01); A61B 17/00 (2006.01); A61N 7/00 (2006.01);
U.S. Cl.
CPC ...
A61B 34/10 (2016.02); A61B 5/022 (2013.01); A61B 5/026 (2013.01); A61B 5/02007 (2013.01); A61B 5/0215 (2013.01); A61B 5/055 (2013.01); A61B 5/0538 (2013.01); A61B 5/6851 (2013.01); A61B 6/032 (2013.01); A61B 6/504 (2013.01); A61B 8/06 (2013.01); A61B 8/488 (2013.01); A61B 18/02 (2013.01); A61B 18/1492 (2013.01); A61N 1/0551 (2013.01); A61N 1/36117 (2013.01); A61B 2017/00115 (2013.01); A61B 2018/0022 (2013.01); A61B 2018/00404 (2013.01); A61B 2018/00434 (2013.01); A61B 2018/00511 (2013.01); A61B 2018/00577 (2013.01); A61B 2018/00863 (2013.01); A61B 2018/00875 (2013.01); A61B 2018/0212 (2013.01); A61B 2018/1467 (2013.01); A61B 2018/1475 (2013.01); A61B 2034/105 (2016.02); A61B 2034/107 (2016.02); A61B 2034/2051 (2016.02); A61B 2034/254 (2016.02); A61B 2090/3735 (2016.02); A61B 2090/3782 (2016.02); A61B 2090/3966 (2016.02); A61N 7/00 (2013.01);
Abstract

Methods and systems for optimizing perivascular neuromodulation therapy using computational fluid dynamics. Digital data regarding three-dimensional imaging of a target blood vessel and corresponding hemodynamic data are inputs to generating a computational fluid dynamics (CFD) model. The CFD model enables identification of one or more regions of the vessel suitable for neuromodulation therapy and/or identifying one or more regions of the vessel to avoid during such therapy. A system of the present technology can include a neuromodulation catheter, a computing device that can generate and analyze the CFD model, and a user interface for displaying the vessel with indicia for target regions and/or avoidance regions.


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