publication . Article . Other literature type . 2009

Fully Automatic Hippocampus Segmentation and Classification in Alzheimer's Disease and Mild Cognitive Impairment Applied on Data From ADNI

Name: Fully Automatic Hippocampus Segmentation and Classification in Alzheimer's Disease and Mild Cognitive Impairment Applied on Data From ADNI
Keywords: [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Cognitive Neuroscience

Habib Benali; Emilie Gerardin; Emilie Gerardin; Louis Lemieux; Olivier Colliot; Olivier Colliot; Marie Chupin; Rémi Cuingnet; Rémi Cuingnet; Claire Boutet; ...

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Open Access English

Published: 01 Jun 2009

Publisher: HAL CCSD

Summary

Abstract

International audience; The hippocampus is among the first structures affected in Alzheimer's disease (AD). Hippocampal magnetic resonance imaging volumetry is a potential biomarker for AD but is hindered by the limitations of manual segmentation. We proposed a fully automatic method using probabilistic and anatomical priors for hippocampus segmentation. Probabilistic information is derived from 16 young controls and anatomical knowledge is modeled with automatically detected landmarks. The results were previously evaluated by comparison with manual segmentation on data from the 16 young healthy controls, with a leave-one-out strategy, and eight patients with AD...

doi: 10.1002/hipo.20626

handle: 1871/28552

Subjects

free text keywords: [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Cognitive Neuroscience, Entorhinal cortex, Psychology, Magnetic resonance imaging, medicine.diagnostic_test, medicine, Neuroimaging, Dementia, medicine.disease, Segmentation, Hippocampal formation, Neuroscience, Alzheimer's Disease Neuroimaging Initiative, Hippocampus

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