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A new multi-directional fiber model for low angular resolution diffusion imaging

Aymeric Stamm 1, * Patrick Pérez 2 Christian Barillot 1 
* Corresponding author
1 VisAGeS - Vision, Action et Gestion d'informations en Santé
INSERM - Institut National de la Santé et de la Recherche Médicale : U746, Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : Diffusion MRI (dMRI) permits to infer the ensemble average propagator (EAP) from a set of diffusion-weighted images acquired from ng gradient directions and nb b-values. In the context of clinical brain imaging, dMRI sequences seldom exceed 10 minutes acquisition, with ng ≤ 30 and only one b-value. The EAP is then inferred from the resulting low angular resolution diffusion (LARD) images by assuming a Gaussian diffusion profile. In research context, higher angular resolution samplings (ng≥60 and nb≥1) have revealed a non-Gaussian diffusion profile in the white matter when fibers cross. To account for that effect, we propose a non-Gaussian parametric modeling of the EAP, the estimation of which can be accurately performed from LARD images obtained in clinical context.
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Submitted on : Wednesday, September 4, 2013 - 8:25:13 PM
Last modification on : Thursday, January 20, 2022 - 4:20:32 PM
Long-term archiving on: : Thursday, December 5, 2013 - 4:18:15 AM


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  • HAL Id : inserm-00858206, version 1


Aymeric Stamm, Patrick Pérez, Christian Barillot. A new multi-directional fiber model for low angular resolution diffusion imaging. International Society for Magnetic Resonance in Medicine, May 2012, Australia. pp.908. ⟨inserm-00858206⟩



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