A radiomics-based brain network in T1 images: construction, attributes, and applications.

ABSTRACT: T1 image is a widely collected imaging sequence in various neuroimaging datasets, but it is rarely used to construct an individual-level brain network. In this study, a novel individualized radiomics-based structural similarity network was proposed from T1 images. In detail, it used voxel-based morphometry to obtain the preprocessed gray matter images, and radiomic features were then extracted on each region of interest in Brainnetome atlas, and an individualized radiomics-based structural similarity network was finally built using the correlational values of radiomic features between any pair of regions of interest. After that, the network characteristics of individualized radiomics-based structural similarity network were assessed, including graph theory attributes, test-retest reliabili

SUBMITTER: Liu H 

PROVIDER: S-EPMC10839838 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature