Reconstruction of scattered data in fetal diffusion MRI.

Détails

ID Serval
serval:BIB_8DFE6E42D974
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Reconstruction of scattered data in fetal diffusion MRI.
Périodique
Medical image analysis
Auteur⸱e⸱s
Oubel E., Koob M., Studholme C., Dietemann J.L., Rousseau F.
ISSN
1361-8423 (Electronic)
ISSN-L
1361-8415
Statut éditorial
Publié
Date de publication
01/2012
Peer-reviewed
Oui
Volume
16
Numéro
1
Pages
28-37
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Résumé
In this paper we present a method for reconstructing diffusion-weighted MRI data on regular grids from scattered data. The proposed method has the advantage that no specific diffusion model needs to be assumed. Previous work assume the tensor model, but this is not suitable under certain conditions like intravoxel orientational heterogeneity (IVOH). Data reconstruction 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 diffusion domains. We propose the use of a groupwise registration method, and a dual spatio-angular interpolation by using radial basis functions (RBF). Leave-one-out experiments performed on adult data showed a high accuracy of the method. The application to fetal data showed an improvement in the quality of the sequences according to objective criteria based on fractional anisotropy (FA) maps, and differences in the tractography results.

Mots-clé
Algorithms, Brain/anatomy & histology, Brain/embryology, Diffusion Tensor Imaging/methods, Humans, Image Enhancement/methods, Image Interpretation, Computer-Assisted/methods, Prenatal Diagnosis/methods, Reproducibility of Results, Sensitivity and Specificity
Pubmed
Web of science
Création de la notice
28/08/2017 13:38
Dernière modification de la notice
20/08/2019 14:51
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