Accurate GM atrophy quantification in MS using lesion-filling with co-registered 2D lesion masks
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...
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Elsevier
2014-01-01
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Series: | NeuroImage: Clinical |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158214000059 |
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author | V. Popescu N.C.G. Ran F. Barkhof D.T. Chard C.A. Wheeler-Kingshott H. Vrenken |
author_facet | V. Popescu N.C.G. Ran F. Barkhof D.T. Chard C.A. Wheeler-Kingshott H. Vrenken |
author_sort | V. Popescu |
collection | DOAJ |
description | 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 < .001) for LEAP, and 1.21 mL (p = .002) for FSL-lesion_filling. Similar effects were achieved with NNI lesion masks from 2DT2. Global WM underestimation was not significantly influenced. GM and WM volumes from NNI, did not differ significantly from gold-standard. GM segmentation differed between lesion masks in the lesion area, and also elsewhere. Using the gold-standard, FSL-FAST quantified as GM on average 0.4% of the lesion area with LEAP and 24.5% with FSL-lesion_filling. Lesion-filling did not influence DGM volumes from FSL-FIRST.
Discussion: These results demonstrate that for global GM volumetry, precise lesion masks on 3DT1 images can be replaced by co-registered 2DT2 lesion masks. This makes lesion-filling a feasible method for GM atrophy measurements in MS. |
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spelling | doaj.art-ed6dac84143e4a6b8160560b1d861e5a2022-12-21T18:22:57ZengElsevierNeuroImage: Clinical2213-15822014-01-014C36637310.1016/j.nicl.2014.01.004Accurate GM atrophy quantification in MS using lesion-filling with co-registered 2D lesion masksV. Popescu0N.C.G. Ran1F. Barkhof2D.T. Chard3C.A. Wheeler-Kingshott4H. Vrenken5Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The NetherlandsDepartment of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The NetherlandsDepartment of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The NetherlandsNMR Research Unit, Queen Square Multiple Sclerosis Centre, University College London (UCL) Institute of Neurology, London, UKNMR Research Unit, Queen Square Multiple Sclerosis Centre, University College London (UCL) Institute of Neurology, London, UKDepartment of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The NetherlandsBackground: 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 < .001) for LEAP, and 1.21 mL (p = .002) for FSL-lesion_filling. Similar effects were achieved with NNI lesion masks from 2DT2. Global WM underestimation was not significantly influenced. GM and WM volumes from NNI, did not differ significantly from gold-standard. GM segmentation differed between lesion masks in the lesion area, and also elsewhere. Using the gold-standard, FSL-FAST quantified as GM on average 0.4% of the lesion area with LEAP and 24.5% with FSL-lesion_filling. Lesion-filling did not influence DGM volumes from FSL-FIRST. Discussion: These results demonstrate that for global GM volumetry, precise lesion masks on 3DT1 images can be replaced by co-registered 2DT2 lesion masks. This makes lesion-filling a feasible method for GM atrophy measurements in MS.http://www.sciencedirect.com/science/article/pii/S2213158214000059Multiple sclerosisLesion fillingLEAPFSL |
spellingShingle | V. Popescu N.C.G. Ran F. Barkhof D.T. Chard C.A. Wheeler-Kingshott H. Vrenken Accurate GM atrophy quantification in MS using lesion-filling with co-registered 2D lesion masks NeuroImage: Clinical Multiple sclerosis Lesion filling LEAP FSL |
title | Accurate GM atrophy quantification in MS using lesion-filling with co-registered 2D lesion masks |
title_full | Accurate GM atrophy quantification in MS using lesion-filling with co-registered 2D lesion masks |
title_fullStr | Accurate GM atrophy quantification in MS using lesion-filling with co-registered 2D lesion masks |
title_full_unstemmed | Accurate GM atrophy quantification in MS using lesion-filling with co-registered 2D lesion masks |
title_short | Accurate GM atrophy quantification in MS using lesion-filling with co-registered 2D lesion masks |
title_sort | accurate gm atrophy quantification in ms using lesion filling with co registered 2d lesion masks |
topic | Multiple sclerosis Lesion filling LEAP FSL |
url | http://www.sciencedirect.com/science/article/pii/S2213158214000059 |
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