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. 29, 2024

Filed:

Mar. 23, 2023
Applicant:

Zhejiang Lab, Hangzhou, CN;

Inventors:

Yu Zhang, Hangzhou, CN;

Wenyuan Qiu, Hangzhou, CN;

Zhichao Wang, Hangzhou, CN;

Chaoliang Sun, Hangzhou, CN;

Haotian Qian, Hangzhou, CN;

Jingsong Li, Hangzhou, CN;

Assignee:

ZHEJIANG LAB, Hangzhou, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/055 (2006.01); G01R 33/48 (2006.01); G06N 3/042 (2023.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
A61B 5/055 (2013.01); G01R 33/4806 (2013.01); G06N 3/042 (2023.01); G06T 7/0012 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30016 (2013.01);
Abstract

The present disclosure discloses a brain atlas individualization method and system based on magnetic resonance and a twin graph neural network. Firstly, a feature is extracted from resting-state functional magnetic resonance imaging (rs-fMRI) by utilizing functional connectivity based on a region-of-interest, and at the same time, Fisher transformation and exponential transformation are performed on the feature; secondly, a corresponding adjacent matrix is extracted from T1-weighted magnetic resonance data in a data set; and then the twin graph neural network is designed for training and testing with the transformed feature and the adjacent matrix as inputs and a group atlas label and a sampling mask as outputs.


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