UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

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

Camara, O and Scahill, RI and Schnabel, JA and Crum, WR and Ridgway, GR and Hill, DLG and 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

An open access version is available from UCL Discovery

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
351Kb

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 > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Neurology > Imaging Neuroscience
UCL > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Neurology > Neurodegenerative Diseases

View download statistics for this item

Archive Staff Only: edit this record