In-vivo probabilistic atlas of human thalamic nuclei based on diffusion- weighted magnetic resonance imaging.

Détails

Ressource 1Télécharger: 30480664_BIB_F5359B795390.pdf (2797.68 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_F5359B795390
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
In-vivo probabilistic atlas of human thalamic nuclei based on diffusion- weighted magnetic resonance imaging.
Périodique
Scientific data
Auteur(s)
Najdenovska E., Alemán-Gómez Y., Battistella G., Descoteaux M., Hagmann P., Jacquemont S., Maeder P., Thiran J.P., Fornari E., Bach Cuadra M.
ISSN
2052-4463 (Electronic)
ISSN-L
2052-4463
Statut éditorial
Publié
Date de publication
27/11/2018
Peer-reviewed
Oui
Volume
5
Pages
180270
Langue
anglais
Notes
Publication types: Dataset ; Research Support, Non-U.S. Gov't
Publication Status: epublish
Résumé
The thalamic nuclei are involved in many neurodegenerative diseases and therefore, their identification is of key importance in numerous clinical treatments. Automated segmentation of thalamic subparts is currently achieved by exploring diffusion-weighted magnetic resonance imaging (DW-MRI), but in absence of such data, atlas-based segmentation can be used as an alternative. Currently, there is a limited number of available digital atlases of the thalamus. Moreover, all atlases are created using a few subjects only, thus are prone to errors due to the inter-subject variability of the thalamic morphology. In this work, we present a probabilistic atlas of anatomical subparts of the thalamus built upon a relatively large dataset where the individual thalamic parcellation was done by employing a recently proposed automatic diffusion-based clustering method. Our analyses, comparing the segmentation performance between the atlas-based and the clustering method, demonstrate the ability of the provided atlas to substitute the automated diffusion-based subdivision in the individual space when the DW-MRI is not available.
Mots-clé
Brain Mapping, Diffusion Magnetic Resonance Imaging, Humans, Image Processing, Computer-Assisted, Thalamic Nuclei/anatomy & histology, Thalamic Nuclei/diagnostic imaging
Pubmed
Web of science
Open Access
Oui
Création de la notice
29/11/2018 10:48
Dernière modification de la notice
20/08/2019 17:21
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