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Scientific article
English

Individual detection of patients with Parkinson disease using support vector machine analysis of diffusion tensor imaging data: initial results

Published inAmerican journal of neuroradiology, vol. 33, no. 11, p. 2123-2128
Publication date2012
Abstract

Brain MR imaging is routinely performed in the work-up of suspected PD, yet its role is essentially limited to the exclusion of other pathologies. We performed a pattern-recognition analysis based on DTI data to detect subjects with PD at the individual level.

Keywords
  • Aged
  • Algorithms
  • Brain/pathology
  • Diffusion Magnetic Resonance Imaging/methods
  • Female
  • Humans
  • Image Enhancement/methods
  • Image Interpretation, Computer-Assisted/methods
  • Male
  • Parkinson Disease/diagnosis
  • Pattern Recognition, Automated/methods
  • Pilot Projects
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Support Vector Machines
Citation (ISO format)
HALLER, Sven et al. Individual detection of patients with Parkinson disease using support vector machine analysis of diffusion tensor imaging data: initial results. In: American journal of neuroradiology, 2012, vol. 33, n° 11, p. 2123–2128. doi: 10.3174/ajnr.A3126
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Article (Published version)
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Identifiers
ISSN of the journal0195-6108
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Creation10/28/2013 5:53:00 PM
First validation10/28/2013 5:53:00 PM
Update time03/14/2023 8:42:09 PM
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