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

Haller, Sven; Badoud, Simon; Nguyen, Duy; Garibotto, Valentina; Lövblad, Karl-Olof; Burkhard, Pierre

doi:10.3174/ajnr.A3126

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Title		Individual detection of patients with Parkinson disease using support vector machine analysis of diffusion tensor imaging data: initial results
Authors		Haller, Sven Badoud, Simon Nguyen, Duy Garibotto, Valentina Lövblad, Karl-Olof Burkhard, Pierre
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		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
Identifiers		DOI: 10.3174/ajnr.A3126 PMID: 22653326
Full text		Article (Published version) (620 Kb) - Limited access to UNIGE
Structures		Faculté de médecine / Section de médecine clinique / Département de radiologie et informatique médicale
Research groups		Groupe Pierre Burkhard (neurologie) (154) Laboratoire de neuroimagerie et de traceurs moléculaires innovants (984)
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. 2123-8. doi: 10.3174/ajnr.A3126 https://archive-ouverte.unige.ch/unige:31974