Fully automated and adaptive detection of amyloid plaques in stained brain sections of Alzheimer transgenic mice - Molecular Imaging Research Center Accéder directement au contenu
Article Dans Une Revue Med. Image Comput. Assist. Interv. Année : 2007

Fully automated and adaptive detection of amyloid plaques in stained brain sections of Alzheimer transgenic mice

Résumé

Automated detection of amyloid plaques (AP) in post mortem brain sections of patients with Alzheimer disease (AD) or in mouse models of the disease is a major issue to improve quantitative, standardized and accurate assessment of neuropathological lesions as well as of their modulation by treatment. We propose a new segmentation method to automatically detect amyloid plaques in Congo Red stained sections based on adaptive thresholds and a dedicated amyloid plaque/tissue modelling. A set of histological sections focusing on anatomical structures was used to validate the method in comparison to expert segmentation. Original information concerning global amyloid load have been derived from 6 mouse brains which opens new perspectives for the extensive analysis of such a data in 3-D and the possibility to integrate in vivo-post mortem information for diagnosis purposes.

Domaines

Neurobiologie
Fichier principal
Vignette du fichier
2007BDelatour_Fully Automated and Adaptive.pdf (2.53 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-00320379 , version 1 (25-05-2021)

Identifiants

Citer

Abdelmonem Feki, Olivier Teboul, Bruno Bozon, Alexis Faure, Philippe Hantraye, et al.. Fully automated and adaptive detection of amyloid plaques in stained brain sections of Alzheimer transgenic mice. Med. Image Comput. Assist. Interv., 2007, 10 Pt. 2, pp.960-968. ⟨10.1007/978-3-540-75759-7_116⟩. ⟨hal-00320379⟩
141 Consultations
16 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More