Robust thalamic nuclei segmentation method based on local diffusion magnetic resonance properties.

Détails

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Etat: Public
Version: Final published version
ID Serval
serval:BIB_0E7BF7F6E8D2
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Robust thalamic nuclei segmentation method based on local diffusion magnetic resonance properties.
Périodique
Brain structure & function
Auteur(s)
Battistella G., Najdenovska E., Maeder P., Ghazaleh N., Daducci A., Thiran J.P., Jacquemont S., Tuleasca C., Levivier M., Bach Cuadra M., Fornari E.
ISSN
1863-2661 (Electronic)
ISSN-L
1863-2653
Statut éditorial
Publié
Date de publication
07/2017
Peer-reviewed
Oui
Volume
222
Numéro
5
Pages
2203-2216
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
The thalamus is an essential relay station in the cortical-subcortical connections. It is characterized by a complex anatomical architecture composed of numerous small nuclei, which mediate the involvement of the thalamus in a wide range of neurological functions. We present a novel framework for segmenting the thalamic nuclei, which explores the orientation distribution functions (ODFs) from diffusion magnetic resonance images at 3 T. The differentiation of the complex intra-thalamic microstructure is improved by using the spherical harmonic (SH) representation of the ODFs, which provides full angular characterization of the diffusion process in each voxel. The clustering was performed using the k-means algorithm initialized in a data-driven manner. The method was tested on 35 healthy volunteers and our results show a robust, reproducible and accurate segmentation of the thalamus in seven nuclei groups. Six of them closely matched the anatomy and were labeled as anterior, ventral anterior, medio-dorsal, ventral latero-ventral, ventral latero-dorsal and pulvinar, while the seventh cluster included the centro-lateral and the latero-posterior nuclei. Results were evaluated both qualitatively, by comparing the segmented nuclei to the histological atlas of Morel, and quantitatively, by measuring the clusters' extent and the clusters' spatial distribution across subjects and hemispheres. We also showed the robustness of our approach across different sequences and scanners, as well as intra-subject reproducibility of the segmented clusters using additional two scan-rescan datasets. We also observed an overlap between the path of the main long-connection tracts passing through the thalamus and the spatial distribution of the nuclei identified with our clustering algorithm. Our approach, based on SH representations of the ODFs, outperforms the one based on angular differences between the principle diffusion directions, which is considered so far as state-of-the-art method. Our findings show an anatomically reliable segmentation of the main groups of thalamic nuclei that could be of potential use in many clinical applications.

Mots-clé
Adult, Aged, 80 and over, Algorithms, Brain Mapping/methods, Diffusion Magnetic Resonance Imaging/methods, Female, Humans, Male, Middle Aged, Neural Pathways/anatomy & histology, Reproducibility of Results, Thalamic Nuclei/anatomy & histology, Orientation distribution function, Segmentation, Spherical harmonics, Thalamic nuclei
Pubmed
Web of science
Open Access
Oui
Création de la notice
28/11/2016 15:57
Dernière modification de la notice
20/08/2019 12:35
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