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. Le-modèle-bi, la modélisation (tissus cérébraux) et les méthodes de traitement d'images (estimation de volume partiel) par une modélisation quasi complète des signaux obtenus. La preuve de concept a été réalisée sur des fantômes physique et numérique avec des séquences en écho de spin et inversion récupération (chapitre 4) Son application sur des images in vivo est limitée aux séquences permettant l'obtention de deux images recalées (par acquisition) de contrastes différents. La séquence MP2RAGE apparaît donc comme un candidat idéal (chapitre 5) pour utiliser ce modèle. Nous avons également montré que le modèle bi-exponentiel est non seulement utilisable avec MP2RAGE, mais est également préférable au modèle du mixel qui sous-estime la proportion de GM aux frontières corticales (chapitres 6 et 7) Cette sous-estimation a été démontrée en simulation (annexe A), sur un fantôme physique (chapitre 7) et sur des données in vivo (chapitre 6). Lors de l'application du modèle linéaire sur des données MP2RAGE, le biais systématique mesuré à l'échelle du voxel se propage dans la mesure du biomarqueur qu'est l'épaisseur corticale (chapitre 8) Nos résultats sont comparables à ceux déjà publiés dans la littérature qui avaient permis de relever ce biais systématique, nous avons proposé un fantôme physique pour simuler l'aspect visuel des caractéristiques d'une dysplasie corticale focale observées en IRM pondérée T1 (chapitre

. La-particularité-principale, Elle donne lieu à un tissu intermédiaire apparaissant flou entre le cortex et la substance blanche. Nos résultats suggèrent qu'une telle région est potentiellement mieux décelable à travers l'interprétation d'une cartographie T1. Notre contribution principale est d'avoir proposé, vérifié et validé statistiquement l'hypothèse que le biais de mesure d'épaisseur corticale rapporté par Fujimoto et al. dans MP2RAGE provenait d'une modélisation inappropriée du phénomène de volume partiel dans la séquence MP2RAGE (chapitre 8) Il ne semble pas être corrélé à une région anatomique particulière. Ce travail permet donc de confirmer l'intérêt de la séquence MP2RAGE pour la segmentation et l'estimation d'épaisseur corticale

Q. Acosta, O. Gambarota, G. Merlet, I. Salvado, O. Saint-jalmes et al., son application car il implique d'émettre des hypothèses sur les propriétés de relaxation des tissus. Les valeurs de T 1 sont mesurées via la séquence MP2RAGE mais les densités protoniques tissulaires ? utilisées ne peuvent Liste des publications Articles dans des conférences internationales avec comité de lecture ? Duché Bi-Exponential Magnetic Resonance Signal Model for Partial Volume Computation, Limites Le modèle bi-exponentiel est limité dans Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, pp.231-238

?. Duché, Q. Raniga, P. Egan, G. F. Acosta, O. Gambarota et al., New Partial Volume Estimation Methods for MRI MP2RAGE, Medical Image Computing and Computer-Assisted Intervention -MICCAI 2014, pp.129-136
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Q. Duché, O. Acosta, G. Gambarota, I. Merlet, O. Salvado et al., A Magnetic Resonance Signal-Based Approach to deal with Partial Volume Effects, 2012.

?. Duché, Q. Raniga, P. Egan, G. F. Acosta, O. Gambarota et al., A comparative study of two partial volume estimation methods with MP2RAGE data at 3T Modeling focal cortical dysplasia lesions using diffusion of gadolinium-DTPA in gel phantoms Cortical thickness measurements with MPRAGE and MP2RAGE at 3T, Proceedings of the ISMRM 22nd meeting Proceedings of the ISMRM 22nd meeting Proceedings of the ISMRM 23rd meeting, 2014.

?. Duché, Q. Acosta, O. Gambarota, G. Merlet, I. Salvado et al., Partial Volume Estimation in Magnetic Resonance Imaging : a signal-based model " Nouvelles méthodologies en Imagerie du vivant (2012) A physical phantom modelling focal cortical dysplasia lesions, Communications dans des conférences nationales avec comité de lecture

A. Annexe, Simulations d'estimation de volume partiel avec MP2RAGE

K. Fujimoto, J. R. Polimeni, A. J. Van-der-kouwe, M. Reuter, T. Kober et al., Quantitative comparison of cortical surface reconstructions from MP2RAGE and multi-echo MPRAGE data at 3 and 7T, NeuroImage, vol.90, 2013.
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