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Title

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

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Published in American Journal of Neuroradiology. 2012, vol. 33, no. 11, p. 2123-8
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 AgedAlgorithmsBrain/pathologyDiffusion Magnetic Resonance Imaging/methodsFemaleHumansImage Enhancement/methodsImage Interpretation, Computer-Assisted/methodsMaleParkinson Disease/diagnosisPattern Recognition, Automated/methodsPilot ProjectsReproducibility of ResultsSensitivity and SpecificitySupport Vector Machines
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PMID: 22653326
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Research groups Groupe Pierre Burkhard (neurologie) (154)
Laboratoire de neuroimagerie et de traceurs moléculaires innovants (984)
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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. 2123-8. https://archive-ouverte.unige.ch/unige:31974

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Deposited on : 2013-12-10

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