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

Autor: V. Popescu, N.C.G. Ran, F. Barkhof, D.T. Chard, C.A. Wheeler-Kingshott, H. Vrenken
Jazyk: angličtina
Rok vydání: 2014
Předmět:
Zdroj: NeuroImage: Clinical, Vol 4, Iss C, Pp 366-373 (2014)
Druh dokumentu: article
ISSN: 2213-1582
DOI: 10.1016/j.nicl.2014.01.004
Popis: 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) volumes using FSL-FIRST. Volumes were compared between lesion mask types using paired Wilcoxon tests. Results: Lesion-filling with gold-standard lesion masks compared to native images reduced GM overestimation by 1.93 mL (p
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