Diffusion Directions Imaging (DDI) - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Rapport (Rapport De Recherche) Année : 2011

Diffusion Directions Imaging (DDI)

Résumé

Di usion weighted magnetic resonance (DW-MR) imaging is the reference in vivo modality to study the connectivity of brain white matter. Several models have been proposed to process DW-MR signal. They include popular di usion tensor imaging (DTI) as well as higher-order models (qballs, ODF). These approaches su er from important drawbacks. Standard DTI is insu ciently robust to noise and cannot directly cope with multiple ber directions. Higher-order approaches can alleviate these limitations but at the cost of increased acquisition time. In this research report we propose a new di usion model, coined Di usion Directions Imaging (DDI) to overcome these limitations. It is based on the direct modeling of the displacement of water molecules under directional di usion as a sum of two random variables: a tridimensional Gaussian vector and a two-dimensional von Mises-Fisher one, the latter capturing the directional statistics. We derive a closed form expression for the corresponding pdf and consider mixtures of such pdfs to handle multiple ber directions. Under this model, we then derive a closed form expression of DW-MR measurements and exploit it to estimate di usion parameters from noisy signals. On synthetic data, this new model proves more accurate and more robust to noise than DTI or ODF for estimating ber directions. We also demonstrate its ability to handle multiple di usion directions with a limited number of acquisitions. Finally, we show its good behaviour on real data with both isotropic and anisotropic regions.
Fichier principal
Vignette du fichier
RR-7683.pdf (586.67 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

inria-00608706 , version 1 (13-07-2011)
inria-00608706 , version 2 (17-09-2011)

Identifiants

  • HAL Id : inria-00608706 , version 1

Citer

Aymeric Stamm, Patrick Pérez, Christian Barillot. Diffusion Directions Imaging (DDI). [Research Report] RR-7683, 2011, pp.26. ⟨inria-00608706v1⟩

Collections

INRIA-RRRT
388 Consultations
349 Téléchargements

Partager

Gmail Facebook X LinkedIn More