Automated computer differential classification in Parkinsonian Syndromes via pattern analysis on MRI.

@article{Duchesne2009AutomatedCD,
  title={Automated computer differential classification in Parkinsonian Syndromes via pattern analysis on MRI.},
  author={Simon Duchesne and Yan Rolland and Marc V{\'e}rin},
  journal={Academic radiology},
  year={2009},
  volume={16 1},
  pages={61-70}
}
RATIONALE AND OBJECTIVES Reported error rates for initial clinical diagnosis of idiopathic Parkinson's disease (IPD) against other Parkinson Plus Syndromes (PPS) can reach up to 35%. Reducing this initial error rate is an important research goal. We evaluated the ability of an automated technique, based on structural, cross-sectional T1-weighted (T1w) magnetic resonance imaging, to perform differential classification of IPD patients versus those with either progressive supranuclear palsy (PSP… CONTINUE READING

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