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:
Jul. 30, 2024

Filed:

Apr. 27, 2023
Applicant:

Owl Navigation, Inc., Edina, MN (US);

Inventors:

Guillermo Sapiro, Durham, NC (US);

Noam Harel, Minnetonka, MN (US);

Yuval Duchin, Minnetonka, MN (US);

Jin Young Kim, Durham, MN (US);

Assignee:

Owl Navigation, Inc., Edina, MN (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 6/50 (2024.01); A61B 5/00 (2006.01); A61B 5/055 (2006.01); A61B 6/00 (2024.01); A61B 6/03 (2006.01); A61B 6/12 (2006.01); A61B 6/46 (2024.01); A61B 34/10 (2016.01); G06F 16/50 (2019.01); G06F 18/25 (2023.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06T 7/33 (2017.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01);
U.S. Cl.
CPC ...
A61B 6/501 (2013.01); A61B 5/055 (2013.01); A61B 6/5217 (2013.01); A61B 6/5294 (2013.01); G06F 16/50 (2019.01); G06F 18/251 (2023.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 7/337 (2017.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); A61B 5/0035 (2013.01); A61B 6/032 (2013.01); A61B 6/037 (2013.01); A61B 6/12 (2013.01); A61B 6/469 (2013.01); A61B 6/5247 (2013.01); A61B 6/563 (2013.01); A61B 2034/107 (2016.02); A61B 2576/026 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20128 (2013.01); G06T 2207/30016 (2013.01);
Abstract

A volumetric segmentation method is disclosed for brain region analysis, in particular but not limited to, regions of the basal ganglia such as the subthalamic nucleus (STN). This serves for visualization and localization within the sub-cortical region of the basal ganglia, as an example of prediction of a region of interest for deep brain stimulation procedures. A statistical shape model is applied for variation modes of the STN, or the corresponding regions of interest, and its predictors on high-quality training sets obtained from high-field, e.g., 7T, MR imaging. The partial least squares regression (PLSR) method is applied to induce the spatial relationship between the region to be predicted, e.g., STN, and its predictors. The prediction accuracy for validating the invention is evaluated by measuring the shape similarity and the errors in position, size, and orientation between manually segmented STN and its predicted one.


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