Optimization of Statistical Single Subject Analysis of Brain FDG PET for the Prognosis of Mild Cognitive Impairment-to-Alzheimer's Disease Conversion.

@article{Lange2016OptimizationOS,
  title={Optimization of Statistical Single Subject Analysis of Brain FDG PET for the Prognosis of Mild Cognitive Impairment-to-Alzheimer's Disease Conversion.},
  author={Catharina Lange and Per Suppa and Lars Frings and Winfried Brenner and Lothar Spies and Ralph Buchert},
  journal={Journal of Alzheimer's disease : JAD},
  year={2016},
  volume={49 4},
  pages={945-959}
}
BACKGROUND Positron emission tomography (PET) with the glucose analog F-18-fluorodeoxyglucose (FDG) is widely used in the diagnosis of neurodegenerative diseases. Guidelines recommend voxel-based statistical testing to support visual evaluation of the PET images. However, the performance of voxel-based testing strongly depends on each single preprocessing step involved. OBJECTIVE To optimize the processing pipeline of voxel-based testing for the prognosis of dementia in subjects with amnestic… CONTINUE READING
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