Emplois actuels liés à Doctorant (F/H) Anatomical and Microstructure - Rennes - Inria
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Rennes, France INRIA Temps pleinContexte et atouts du poste Magnetic resonance imaging (MRI) and in particular diffusion MRI (dMRI) provide detailed information about the macroscopic organisation of brain white matter (WM) fiber bundles (see Figure), with a method called fiber tractography. Complementary to the geometry of fibers, dMRI is also sensitive to the microscopic tissue...
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Rennes, Bretagne, France INRIA Temps pleinPosition Overview and Benefits The field of magnetic resonance imaging (MRI), particularly diffusion MRI (dMRI), offers intricate insights into the macroscopic structure of brain white matter (WM) fiber bundles through a technique known as fiber tractography. In addition to the geometric characteristics of fibers, dMRI is sensitive to the microscopic...
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Doctorant (F/H) Anatomical and Microstructure
Il y a 3 mois
**Type de contrat **:CDD
**Niveau de diplôme exigé **:Bac + 5 ou équivalent
**Fonction **:Doctorant
**A propos du centre ou de la direction fonctionnelle**:
Le centre Inria Rennes - Bretagne Atlantique est un des huit centres d’Inria et compte plus d'une trentaine d’équipes de recherche. Le centre Inria est un acteur majeur et reconnu dans le domaine des sciences numériques. Il est au cœur d'un riche écosystème de R&D et d’innovation : PME fortement innovantes, grands groupes industriels, pôles de compétitivité, acteurs de la recherche et de l’enseignement supérieur, laboratoires d'excellence, institut de recherche technologique.
**Contexte et atouts du poste**:
Diffusion MRI (dMRI) quantifies the diffusion of water molecules (constrained by their environment), enabling us to infer a number of microstructure parameters, such as the arrangement of nerve fibers, the different tissues making them up and their properties (axon diameter, proportion of neuronal cell bodies, etc.). Additionally, dMRI combined with white matter tractography techniques is a highly promising method for assessing the trajectories of nerve fibers in the brain. More specifically, tractography (illustrated in figure 1) utilizes the directionality of diffusion of water molecules in brain tissue to estimate neuronal fiber orientation [D. Jones, 2010]. This process is known as fiber tracking or fiber tractography, and the resulting collection of white matter pathways is referred to as tractograms [Mori and Van Zijl, 2002]. These approaches have the remarkable capability to delineate white matter fiber pathways, offering unprecedented insights into the structural connections within the human brain. They hold enormous potential for studying brain anatomy, development, and function [Jeurissen et al., 2019a]. Furthermore, tractography has demonstrated its substantial worth in the field of neurosurgery, playing a pivotal role in surgical planning, particularly in the preservation of critical white matter pathways during brain resections [Mancini et al., 2019].
Despite this, such tractography approaches remain limited for a variety of reasons. Firstly, most of the studies use a simple diffusion model such as diffusion tensor imaging (DTI), which cannot estimate fibers with different orientation in one voxel in complex areas. Moreover, the interpretation of changes in the measured diffusion tensor is complex and should be performed with care. Furthermore, the estimation of cerebral fibers (tractography [8], illustrated in figure 1) is not yet reliable. Studies have shown that the most advanced tractography algorithms tend to generate a large number of fiber bundles, resulting in a high false-positive rate. In this thesis, our aim was to propose innovative methods for improving fiber estimation.
To overpass that, new approaches have been proposed that include anatomical a priori to guide the algorithms in complex regions. In the Empenn team, we recently developed methods for creating and combining anatomical a priori using Riemannian geometry, applicable to any orientation distribution function (ODF)-based tractography algorithms.
**Mission confiée**:
- Improving the atlas creation using multi-atlasing in order to take into account the tractogram variability
- Improving a priori estimation using microstructural features to guide tractography, proposed during the PhD thesis of Thomas Durantel, by taking into account the variability of track orientation and the TOD estimation.
- Incorporation of anatomical a priori - fiber bundle atlas, microstructural information from relaxometry or diffusion imaging along known, manually delineated fibers - and data to help tractography and avoid false positives.
**Principales activités**:
The proposed method will be based on the track orientation distribution (TOD) [Dhollander et al., 2014] from an atlas of segmented fiber bundles and incorporates it during the tracking process, using a Riemannian framework. The developed approach will be tested on a cohort of patients suffering from depression, with the aim of better estimating the microstructure and thus better understanding the neuronal modifications caused by this disease.
**Compétences**:
**Avantages**:
- Restauration subventionnée
- Transports publics remboursés partiellement
- Possibilité de télétravail à hauteur de 90 jours annuels
- Prise en charge partielle du coût de la mutuelle
**Rémunération**:
Salaire mensuel brut 2100€ les 2 premières années et 2200€ la troisième.
**Informations générales**:
- **Thème/Domaine**: Neurosciences et médecine numériques
Biologie et santé, Sciences de la vie et de la terre (BAP A)
- **Ville**: Rennes
- **Centre Inria**: Centre Inria de l'Université de Rennes
- **Date de prise de fonction souhaitée**: 2024-09-01
- **Durée de contrat**: 3 ans
- **Date limite pour postuler**: 2024-04-30
**Consignes pour postuler**:
Merci de déposer en ligne CV, lettre de motivat
