The effect of lesion filling on brain network analysis in multiple sclerosis using structural magnetic resonance imaging.

ABSTRACT:

Background

Graph theoretical network analysis with structural magnetic resonance imaging (MRI) of multiple sclerosis (MS) patients can be used to assess subtle changes in brain networks. However, the presence of multiple focal brain lesions might impair the accuracy of automatic tissue segmentation methods, and hamper the performance of graph theoretical network analysis. Applying "lesion filling" by substituting the voxel intensities of a lesion with the voxel intensities of nearby voxels, thus creating an image devoid of lesions, might improve segmentation and graph theoretical network analysis. This study aims to determine if brain networks are different between MS subtypes and healthy controls (HC) and if the assessment of these differences is affected by lesion filling.

Met

SUBMITTER: van der Weijden CWJ 

PROVIDER: S-EPMC8960512 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature