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A comparison of voxel and surface based cortical thickness estimation methods

Clarkson, MJ; Cardoso, MJ; Ridgway, GR; Modat, M; Leung, KK; Rohrer, JD; Fox, NC; (2011) A comparison of voxel and surface based cortical thickness estimation methods. Neuroimage , 57 (3) pp. 856-865. 10.1016/j.neuroimage.2011.05.053. Green open access

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Abstract

Cortical thickness estimation performed in-vivo via magnetic resonance imaging is an important technique for the diagnosis and understanding of the progression of neurodegenerative diseases. Currently, two different computational paradigms exist, with methods generally classified as either surface or voxel-based. This paper provides a much needed comparison of the surface-based method FreeSurfer and two voxel-based methods using clinical data. We test the effects of computing regional statistics using two different atlases and demonstrate that this makes a significant difference to the cortical thickness results. We assess reproducibility, and show that FreeSurfer has a regional standard deviation of thickness difference on same day scans that is significantly lower than either a Laplacian or Registration based method and discuss the trade off between reproducibility and segmentation accuracy caused by bending energy constraints. We demonstrate that voxel-based methods can detect similar patterns of group-wise differences as well as FreeSurfer in typical applications such as producing group-wise maps of statistically significant thickness change, but that regional statistics can vary between methods. We use a Support Vector Machine to classify patients against controls and did not find statistically significantly different results with voxel based methods compared to FreeSurfer. Finally we assessed longitudinal performance and concluded that currently FreeSurfer provides the most plausible measure of change over time, with further work required for voxel based methods. (c) 2011 Elsevier Inc. All rights reserved.

Type: Article
Title: A comparison of voxel and surface based cortical thickness estimation methods
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.neuroimage.2011.05.053
Publisher version: http://dx.doi.org/10.1016/j.neuroimage.2011.05.053
Language: English
Keywords: Cortical thickness estimation, Laplacian, Registration, FreeSurfer, Alzheimer's disease, Atrophy, HUMAN CEREBRAL-CORTEX, PRIMARY PROGRESSIVE APHASIA, MAGNETIC-RESONANCE IMAGES, HIPPOCAMPAL ATROPHY RATES, AUTOMATED 3-D EXTRACTION, ALZHEIMERS-DISEASE, SEMANTIC DEMENTIA, MRI, RECONSTRUCTION, PATTERNS
UCL classification: UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neurodegenerative Diseases
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1309980
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