Computational neuroanatomy: new perspectives for neuroradiology.

Détails

ID Serval
serval:BIB_BB4CFB620BCE
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Titre
Computational neuroanatomy: new perspectives for neuroradiology.
Périodique
Revue Neurologique
Auteur⸱e⸱s
Good C.D., Ashburner J., Frackowiak R.S.
ISSN
0035-3787 (Print)
ISSN-L
0035-3787
Statut éditorial
Publié
Date de publication
2001
Volume
157
Numéro
8-9 Pt 1
Pages
797-806
Langue
anglais
Notes
Publication types: Journal Article ; ReviewPublication Status: ppublish
Résumé
Computational neuroanatomy is emerging as an exciting new methodology to characterise shape and neuroanatomical configuration of different brains. It encompasses a triad of techniques: Voxel-based morphometry (VBM), which compares neuroanatomical differences on a voxel by voxel basis, Deformation-based morphometry (DBM), which provides information about global differences in brain shape and Tensor-based morphometry (TBM) which provides information about local shape differences. This review will describe the methodology and clinical applications of these techniques.
Mots-clé
Brain/pathology, Brain Diseases/diagnosis, Brain Diseases/pathology, Brain Mapping/methods, Humans, Image Processing, Computer-Assisted, Linear Models, Magnetic Resonance Imaging/methods, Mathematical Computing
Pubmed
Web of science
Création de la notice
12/09/2011 20:07
Dernière modification de la notice
20/08/2019 16:29
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