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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
PMID: 22653326
Full text
Article (Published version) (620 Kb) - document accessible for UNIGE members only 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. https://archive-ouverte.unige.ch/unige:31974

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Deposited on : 2013-12-10

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