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. 15, 2025

Filed:

Jan. 17, 2025
Applicant:

The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, CN;

Inventors:

Xizhe Zhang, Nanjing, CN;

Fei Wang, Nanjing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); A61B 5/00 (2006.01); A61B 5/055 (2006.01); G06T 7/00 (2017.01); G06T 7/73 (2017.01); G06V 10/25 (2022.01); G06V 10/26 (2022.01); G06V 10/32 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 20/70 (2022.01);
U.S. Cl.
CPC ...
G06V 10/25 (2022.01); A61B 5/0042 (2013.01); A61B 5/055 (2013.01); G06T 7/0014 (2013.01); G06T 7/73 (2017.01); G06V 10/26 (2022.01); G06V 10/32 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 20/70 (2022.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30016 (2013.01); G06T 2207/30242 (2013.01); G06V 2201/031 (2022.01);
Abstract

The provided is a personalized target selection method for a non-invasive neuromodulation technology, including: preprocessing functional magnetic resonance imaging (fMRI) data from MRI scan data of a current patient to acquire fMRI brain image feature data; inputting the fMRI brain image feature data into a pre-trained inter-subtype classification model to acquire a subtype label of the current patient and all feature voxels of the subtype label; preprocessing T1-weighted MRI data of structural magnetic resonance imaging (sMRI) data from the MRI scan data of the current patient to acquire a skull outline and a transformation matrix between the sMRI and fMRI data; performing coordinate transformation on the feature voxels, calculating a distance between each voxel on the skull outline and each feature voxel, marking response feature voxels, and counting a number of response feature voxels; and sorting the number of response feature voxels.


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