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Accuracy assessment of global and local atrophy measurement techniques with realistic simulated longitudinal data

Camara, O; Scahill, RI; Schnabel, JA; Crum, WR; Ridgway, GR; Hill, DLG; Fox, NC; (2007) Accuracy assessment of global and local atrophy measurement techniques with realistic simulated longitudinal data. In: Ayache, N and Ourdelin, S and Maeder, A, (eds.) Medical Image Computing and Computer-Assisted Intervention- MICCAI 2007, Pt 2, Proceedings. (pp. 785 - 792). SPRINGER-VERLAG BERLIN Green open access

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Abstract

The main goal of this work was to assess the accuracy of several well-known methods which provide global (BSI and SIENA) or local (Jacobian integration) estimates of longitudinal atrophy in brain structures using Magnetic Resonance images. For that purpose, we have generated realistic simulated images 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 < 1.42%.

Type: Proceedings paper
Title: Accuracy assessment of global and local atrophy measurement techniques with realistic simulated longitudinal data
Event: 10th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2007)
Location: Brisbane, AUSTRALIA
Dates: 2007-10-29 - 2007-11-02
ISBN-13: 978-3-540-75758-0
Open access status: An open access version is available from UCL Discovery
Keywords: CEREBRAL VOLUME, MRI, REGISTRATION, MODEL
UCL classification: UCL
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: https://discovery.ucl.ac.uk/id/eprint/7908
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