title: Reconstruction of scattered data in fetal diffusion MRI.
abstract: In this paper we present a method for reconstructing D-MRI data on regular grids from sparse data without assuming specific diffusion models. This is particularly important when studying the fetal brain in utero, since registration methods applied for movement and distortion correction produce scattered data in spatial and angular (gradient) domains. We propose the use of a groupwise registration method, and a dual spatio-angular interpolation by using radial basis functions (RBF). Experiments performed on adult data showed a high accuracy of the method when estimating diffusion images in unavailable directions. The application to fetal data showed an improvement in the quality of the sequences according to criteria based on fractional anisotropy (FA) maps, and differences in the tractography results.
authors.affiliation: LSIIT, UMR 7005, CNRS-Université de Strasbourg, France.
authors.forename: Estanislao
authors.initials: E
authors.lastname: Oubel
authors.forename: Meriam
authors.initials: M
authors.lastname: Koob
authors.forename: Colin
authors.initials: C
authors.lastname: Studholme
authors.forename: Jean-Louis
authors.initials: JL
authors.lastname: Dietemann
authors.forename: François
authors.initials: F
authors.lastname: Rousseau
mesh_terms: D000465:Algorithms; D001921:Brain / Q000033:anatomy & histology* / Q000196:embryology*; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D011296:Prenatal Diagnosis / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique