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:
Sep. 05, 2023

Filed:

Mar. 10, 2020
Applicant:

Neurophet Inc., Seoul, KR;

Inventor:

Dong Hyeon Kim, Seoul, KR;

Assignee:

NEUROPHET INC., Seoul, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/11 (2017.01); G16H 20/30 (2018.01); G16H 50/20 (2018.01); G16H 30/40 (2018.01); G06T 7/00 (2017.01); G06T 17/20 (2006.01); G06V 20/69 (2022.01); A61B 5/00 (2006.01); A61N 1/36 (2006.01); A61B 5/055 (2006.01); A61N 2/00 (2006.01); A61N 2/02 (2006.01);
U.S. Cl.
CPC ...
A61B 5/0036 (2018.08); A61B 5/0042 (2013.01); A61B 5/055 (2013.01); A61B 5/7267 (2013.01); A61N 1/36025 (2013.01); A61N 1/36031 (2017.08); A61N 2/006 (2013.01); A61N 2/02 (2013.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 17/20 (2013.01); G06V 20/695 (2022.01); G16H 20/30 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); A61B 2576/026 (2013.01); G06T 2200/08 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20112 (2013.01); G06T 2207/30016 (2013.01); G06T 2210/41 (2013.01);
Abstract

Disclosed is a method for generating a three-dimensional brain map, comprising the steps of: acquiring a brain magnetic resonance imaging (MRI) image of an object; segmenting the brain MRI image into a plurality of regions; generating a three-dimensional brain image of the object including the plurality of regions by using the segmented brain MRI image; and generating a three-dimensional brain map of the object capable of simulating a process of transferring electrical stimulation to the brain of the object based on properties of each of the plurality of regions included in the three-dimensional brain image, wherein the step of segmenting includes the step of acquiring a segmented brain MRI image of the object by inputting a brain MRI image of the object into a model learned by using a plurality of processed brain MRI images.


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