A Multicenter Preclinical MRI Study: Definition of Rat Brain Relaxometry Reference Maps.
Fiche publication
Date publication
janvier 2020
Journal
Frontiers in neuroinformatics
Auteurs
Membres identifiés du Cancéropôle Est :
Dr NOBLET Vincent
Tous les auteurs :
Deruelle T, Kober F, Perles-Barbacaru A, Delzescaux T, Noblet V, Barbier EL, Dojat M
Lien Pubmed
Résumé
Similarly to human population imaging, there are several well-founded motivations for animal population imaging, the most notable being the improvement of the validity of statistical results by pooling a sufficient number of animal data provided by different imaging centers. In this paper, we demonstrate the feasibility of such a multicenter animal study, sharing raw data from forty rats and processing pipelines between four imaging centers. As specific use case, we focused on T1 and T2 mapping of the healthy rat brain at 7T. We quantitatively report about the variability observed across two MR data providers and evaluate the influence of image processing steps on the final maps, using three fitting algorithms from three centers. Finally, to derive relaxation times from different brain areas, two multi-atlas segmentation pipelines from different centers were performed on two different platforms. Differences between the two data providers were 2.21% for T1 and 9.52% for T2. Differences between processing pipelines were 1.04% for T1 and 3.33% for T2. These maps, obtained in healthy conditions, may be used in the future as reference when exploring alterations in animal models of pathology.
Mots clés
MRI, brain imaging, digital atlas, quantitative imaging, rat
Référence
Front Neuroinform. 2020 ;14:22