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:
Oct. 17, 2023

Filed:

Dec. 28, 2020
Applicant:

Advanced Neuromodulation Systems, Inc., Plano, TX (US);

Inventors:

Yagna Pathak, Skokie, IL (US);

Simeng Zhang, Frisco, TX (US);

Dehan Zhu, Plano, TX (US);

Anahita Kyani, Plano, TX (US);

Hyun-Joo Park, Frisco, TX (US);

Erika Ross, Dallas, TX (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 34/10 (2016.01); G06T 7/70 (2017.01); G16H 30/40 (2018.01); G06V 10/25 (2022.01); A61B 5/055 (2006.01); A61B 6/03 (2006.01); A61B 6/00 (2006.01); G06N 3/08 (2023.01); G06T 7/00 (2017.01); G06F 18/214 (2023.01); A61N 1/05 (2006.01);
U.S. Cl.
CPC ...
A61B 34/10 (2016.02); A61B 5/055 (2013.01); A61B 6/032 (2013.01); A61B 6/469 (2013.01); A61B 6/501 (2013.01); A61B 6/5223 (2013.01); A61B 6/5247 (2013.01); G06F 18/214 (2023.01); G06N 3/08 (2013.01); G06T 7/0014 (2013.01); G06T 7/70 (2017.01); G06V 10/25 (2022.01); G16H 30/40 (2018.01); A61B 2034/107 (2016.02); A61B 2505/05 (2013.01); A61N 1/0534 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30016 (2013.01); G06T 2207/30241 (2013.01); G06V 2201/031 (2022.01);
Abstract

A system and method for facilitating DBS electrode trajectory planning using a machine learning (ML)-based feature identification scheme configured to identify and distinguish between various regions of interest (ROIs) and regions of avoidance (ROAs) in a patient's brain scan image. In one arrangement, standard orientation image slices as well as re-sliced images in non-standard orientations are provided in a labeled input dataset for training a CNN/ANN for distinguishing between ROIs and ROAs. Upon identification of the ROIs and ROAs in the patient's brain scan image, an optimal trajectory for implanting a DBS lead may be determined relative to a particular ROI while avoiding any ROAs.


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