Functional connectivity matrix processing system and device based on feature selection using filtering method
US11989883B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 27, 2023 |
| Grant date | May 21, 2024 |
| Priority date | — |
| Expiry date | Jul 27, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30016
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.