Ridgway, G.R.;
Camara, O.;
Scahill, R.I.;
Crum, W.R.;
Whitcher, B.;
Fox, N.C.;
Hill, D.L.G.;
(2007)
Longitudinal Voxel-based morphometry with unified segmentation: evaluation on simulated Alzheimer’s disease.
In:
Proceedings of Medical Image Understanding and Analysis 2007.
(pp. pp. 201-205).
British Machine Vision Association: Malvern, UK.
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Abstract
The goal of this work is to evaluate Voxel-Based Morphometry and three longitudinally-tailored methods of VBM.We use a cohort of simulated images produced by deforming original scans using a Finite Element Method, guided to emulate Alzheimer-like changes. The simulated images provide quite realistic data with a known pattern of spatial atrophy, with which VBM’s findings can be meaningfully compared. We believe this is the first evaluation of VBM for which anatomically-plausible ‘gold-standard’ results are available. The three longitudinal VBM methods have been implemented within the unified segmentation framework of SPM5; one of the techniques is a newly developed procedure, which shows promising potential.
Type: | Proceedings paper |
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Title: | Longitudinal Voxel-based morphometry with unified segmentation: evaluation on simulated Alzheimer’s disease |
ISBN-13: | 9781901725339 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | http://www2.wiau.man.ac.uk/caws/Conferences/43/ |
Language: | English |
UCL classification: | UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Experimental and Translational Medicine UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neurodegenerative Diseases |
URI: | https://discovery.ucl.ac.uk/id/eprint/13845 |
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