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

  • Authors:

  • Oscar Camara;Rachael I. Scahill;Julia A. Schnabel;William R. Crum;Gerard R. Ridgway;Derek L. G. Hill;Nick C. Fox

  • Affiliations:

  • Centre for Medical Image Computing, Department of Medical Physics and Bioengineering, University College London, London, UK;Dementia Research Centre, Institute of Neurology, University College London, London, UK;Centre for Medical Image Computing, Department of Medical Physics and Bioengineering, University College London, London, UK;Centre for Medical Image Computing, Department of Medical Physics and Bioengineering, University College London, London, UK;Centre for Medical Image Computing, Department of Medical Physics and Bioengineering, University College London, London, UK;Centre for Medical Image Computing, Department of Medical Physics and Bioengineering, University College London, London, UK;Dementia Research Centre, Institute of Neurology, University College London, London, UK

  • Venue:
  • MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
  • Year:
  • 2007

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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