Published May 1, 2008
| Version v1
Conference paper
4TH ORDER DIFFUSION TENSOR ESTIMATION AND APPLICATION
Contributors
Others:
- Computer and biological vision (ODYSSEE) ; Département d'informatique - ENS-PSL (DI-ENS) ; École normale supérieure - Paris (ENS-PSL) ; Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL) ; Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Centre Inria d'Université Côte d'Azur (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Inria Paris-Rocquencourt ; Institut National de Recherche en Informatique et en Automatique (Inria)-École nationale des ponts et chaussées (ENPC)
- MOIVRE Centre ; Université de Sherbrooke (UdeS)
Description
Historically Diffusion MRI started with Diffusion Tensor Imaging (DTI), which boosted the development of schemes for estimating positive definite tensors but were limited by their inability to detect fiber-crossings. Recent HARDI techniques have overcome that shortcoming with a plethora of new reconstruction schemes such as radial basis functions, Spherical Harmonics (SH), Higher Order Tensors (HOT), etc. It is appropriate, therefore, to explore HOT while leveraging the extensive framework already established for classical DTI. In this work, we propose a review and a comparison of the existing methods and an extension to the Riemannian framework to the space of 4 th order diffusion tensors.
Abstract
International audienceAdditional details
Identifiers
- URL
- https://inria.hal.science/inria-00496834
- URN
- urn:oai:HAL:inria-00496834v1
Origin repository
- Origin repository
- UNICA