公开(公告)号：US20240078678A1

公开(公告)日：2024-03-07

申请号：US18360796

申请日：2023-07-27

Applicant: ZHEJIANG LAB

Inventor： Jingsong LI ,  Jun LI ,  Baochen WANG ,  Zhuoxin LI ,  Yu TIAN ,  Tianshu ZHOU

IPC: G06T7/00

CPC classification number: G06T7/0014 ,  G06T2207/10088 ,  G06T2207/30016

Abstract: The present application discloses a system and a device for functional connectivity matrix processing based on feature selection using a filtering method, which comprises the following steps: acquiring a preprocessed resting state brain functional magnetic resonance image of a subject; extracting time series; calculating a Pearson correlation coefficient to obtain a Pearson correlation coefficient matrix; vectorizing the Pearson correlation coefficient matrix; calculating quantitative correlation indices using a filtering method, and selecting a quantitative correlation index based on a preset threshold; performing weighting processing a selected functional connectivity feature by using the corresponding quantitative correlation index with high correlation with a disease diagnosis result to obtain a functional connectivity matrix; and obtaining a prediction result from the functional connectivity matrix.