Publication

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

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.

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Proximité ontologique
Concepts associés (28)
Thalamus
vignette|Vue tridimensionnelle du thalamus (en rouge). vignette|Thalamus (vue antérolatérale). vignette|Thalamus (vue supérieure). Le thalamus (du grec θάλαμος, chambre à coucher) est une structure anatomique paire de substance grise cérébrale diencéphalique. Les deux thalamus sont situés de part et d'autre du ventricule dont ils constituent les parois latérales. Situé en position intermédiaire entre cortex et tronc cérébral, le thalamus a principalement une fonction de relais et d'intégration des afférences sensitives et sensorielles et des efférences motrices, ainsi que de régulation de la conscience, de la vigilance et du sommeil.
Formation réticulée
vignette|281x281px|Formation réticulée et posture La (ou ; également, en formatio reticularis) est une structure nerveuse du tronc cérébral à l'interface des systèmes autonome, moteur et sensitif. Elle a été mise en évidence la première fois en 1949 par et . Elle intervient dans la régulation de grandes fonctions vitales (comme les cycles veille-sommeil), le contrôle d'activités motrices réflexes ou stéréotypées, comme la marche ou le tonus postural et dans des fonctions cognitives telles que l'attention.
Medical image computing
Medical image computing (MIC) is an interdisciplinary field at the intersection of computer science, information engineering, electrical engineering, physics, mathematics and medicine. This field develops computational and mathematical methods for solving problems pertaining to medical images and their use for biomedical research and clinical care. The main goal of MIC is to extract clinically relevant information or knowledge from medical images.
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