

![]() |
Individual detection of patients with Parkinson disease using support vector machine analysis of diffusion tensor imaging data: initial results |
|
Authors | ||
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 | ||
Structures | ||
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 |