Multimodal Image Analysis in Alzheimer's Disease via Statistical Modelling of Non-local Intensity Correlations.

@article{Lorenzi2016MultimodalIA,
  title={Multimodal Image Analysis in Alzheimer's Disease via Statistical Modelling of Non-local Intensity Correlations.},
  author={Marco Lorenzi and Ivor Simpson and Alex F. Mendelson and Sjoerd B. Vos and Manuel Jorge Cardoso and Marc Modat and Jonathan M. Schott and S{\'e}bastien Ourselin},
  journal={Scientific reports},
  year={2016},
  volume={6},
  pages={
          22161
        }
}
The joint analysis of brain atrophy measured with magnetic resonance imaging (MRI) and hypometabolism measured with positron emission tomography with fluorodeoxyglucose (FDG-PET) is of primary importance in developing models of pathological changes in Alzheimer's disease (AD). Most of the current multimodal analyses in AD assume a local (spatially overlapping) relationship between MR and FDG-PET intensities. However, it is well known that atrophy and hypometabolism are prominent in different… CONTINUE READING
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