Unknown

Dataset Information

Accurate GM atrophy quantification in MS using lesion-filling with co-registered 2D lesion masks.


ABSTRACT:

Background

In multiple sclerosis (MS), brain atrophy quantification is affected by white matter lesions. LEAP and FSL-lesion_filling, replace lesion voxels with white matter intensities; however, they require precise lesion identification on 3DT1-images.

Aim

To determine whether 2DT2 lesion masks co-registered to 3DT1 images, yield grey and white matter volumes comparable to precise lesion masks.

Methods

2DT2 lesion masks were linearly co-registered to 20 3DT1-images of MS patients, with nearest-neighbor (NNI), and tri-linear interpolation. As gold-standard, lesion masks were manually outlined on 3DT1-images. LEAP and FSL-lesion_filling were applied with each lesion mask. Grey (GM) and white matter (WM) volumes were quantified with FSL-FAST, and deep gray matter (DGM)

SUBMITTER: Popescu V 

PROVIDER: S-EPMC3930097 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature