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Cross-sectional analysis using voxel or surface based cortical thickness methods: A comparison study

Clarkson, MJ; Cardoso, MJ; Modat, M; Ridgway, GR; Leung, KK; Rohrer, JD; Fox, NC; (2011) Cross-sectional analysis using voxel or surface based cortical thickness methods: A comparison study. In: 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro: Proceedings: March 30 – April 2, 2011 Chicago, Illinois, USA. (pp. 381 - 384). IEEE: Piscataway, US.

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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 demonstrate that voxel-based methods can detect similar patterns of group-wise differences as well as FreeSurfer, where the lack of deformable model constraints may provide more sensitivity but with a resulting trade-off in reproducibility.

Type: Proceedings paper
Title: Cross-sectional analysis using voxel or surface based cortical thickness methods: A comparison study
Event: 8th International Symposium on Biomedical Imaging (ISBI’11)
ISBN-13: 9781424441280
DOI: 10.1109/ISBI.2011.5872428
Publisher version: http://dx.doi.org/10.1109/ISBI.2011.5872428
Language: English
Keywords: Cortical thickness estimation, Laplacian, Registration, FreeSurfer
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
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
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: http://discovery.ucl.ac.uk/id/eprint/737064
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