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. 25, 2025

Filed:

Nov. 30, 2023
Applicants:

The Board of Trustees of the University of Illinois, Urbana, IL (US);

Osf Healthcare System, Peoria, IL (US);

Inventors:

Bradley P. Sutton, Savoy, IL (US);

Matthew Bramlet, Peoria, IL (US);

Yogatheesan Varatharajah, Minneapolis, MN (US);

James Evans, Urbana, IL (US);

Andres Maldonado, Peoria, IL (US);

Michael Xu, Rancho Cucamonga, CA (US);

Nathan Soria, Peoria, IL (US);

Assignees:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 17/00 (2006.01); A61B 5/00 (2006.01); A61B 5/291 (2021.01); A61B 34/10 (2016.01); A61B 90/00 (2016.01); G06T 7/11 (2017.01); G06T 7/136 (2017.01); G06T 7/30 (2017.01); G06T 7/70 (2017.01); G06T 19/00 (2011.01);
U.S. Cl.
CPC ...
G06T 17/00 (2013.01); A61B 5/291 (2021.01); A61B 5/4094 (2013.01); A61B 34/10 (2016.02); A61B 90/37 (2016.02); G06T 7/11 (2017.01); G06T 7/136 (2017.01); G06T 7/30 (2017.01); G06T 7/70 (2017.01); G06T 19/00 (2013.01); A61B 2034/105 (2016.02); G06T 2200/24 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20221 (2013.01); G06T 2207/30016 (2013.01); G06T 2210/41 (2013.01); G06T 2219/004 (2013.01);
Abstract

Aspects of the subject disclosure may include, for example, co-registering MRI data with CT data to derive merged data, the MRI data and the CT data being associated with an anatomical part of a patient, the MRI data being obtained prior to implantation of a plurality of electrodes into the anatomical part and the CT data being obtained after the implantation of the plurality of electrodes, performing segmentation on the merged data to identify locations of the plurality of electrodes, resulting in identified locations, localizing a region of interest in the merged data based on the identified locations of the plurality of electrodes and based on activity recordings relating to the anatomical part, and generating a model of the anatomical part by performing multimodal image fusion of the activity recordings and the merged data to derive an output for VR viewing or manipulation. Additional embodiments are disclosed.


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