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Evaluation of local and global atrophy measurement techniques with simulated Alzheimer's disease data

Camara, O.; Scahill, R.I.; Crum, W.R.; Schnabel, J.A.; Ridgway, G.R.; Hill, D.L.G.; Fox, N.C.; (2007) Evaluation of local and global atrophy measurement techniques with simulated Alzheimer's disease data. In: Proceedings of Medical Image Understanding and Analysis 2007. (pp. pp. 16-20). British Machine Vision Association: Malvern, UK. Green open access

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Abstract

The main goal of this work was to evaluate several well-known methods which provide global (BSI and SIENA) or local (Jacobian integration) estimates of atrophy in brain structures using Magnetic Resonance images. For that purpose, we have generated realistic simulated Alzheimer's disease images in which volume changes are modelled with a Finite Element thermoelastic model, which mimic the patterns of change obtained from a cohort of 19 real controls and 27 probable Alzheimer's disease patients. SIENA and BSI results correlate very well with gold standard data (BSI mean absolute error <0.29%; SIENA <0.44%). Jacobian integration was guided by both fluid and FFD-based registration techniques and resulting deformation fields and associated Jacobians were compared, region by region, with gold standard ones. The FFD registration technique provided more satisfactory results than the fluid one. Mean absolute error differences between volume changes given by the FFD-based technique and the gold standard were: sulcal CSF <2.49%; lateral ventricles 2.25%; brain <0.36%; hippocampi <0.42%.

Type: Proceedings paper
Title: Evaluation of local and global atrophy measurement techniques with simulated Alzheimer's disease data
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
Additional information: Paper presented at the Medical Image Understanding and Analysis conference 2007, University of Wales, Aberystwyth, 17-18th July 2007
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/13844
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