Accuracy assessment of global and local atrophy measurement techniques with realistic simulated longitudinal data.
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%.
Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London WC1E 6BT, UK. o.camara-rey@ucl.ac.uk
Oscar
O
Camara
Rachael I
RI
Scahill
Julia A
JA
Schnabel
William R
WR
Crum
Gerard R
GR
Ridgway
Derek L G
DL
Hill
Nick C
NC
Fox
D000465:Algorithms; D000544:Alzheimer Disease / Q000175:diagnosis*; D001185:Artificial Intelligence; D001284:Atrophy / Q000175:diagnosis; D001921:Brain / Q000473:pathology*; D003198:Computer Simulation; D016208:Databases, Factual; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008137:Longitudinal Studies; D008959:Models, Neurological; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique