Published May 21, 2009
| Version v1
Book section
From Second to Higher Order Tensors in Diffusion-MRI
Creators
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)
- Aja-Fernández
- Santiago and de Luis García
- Rodrigo and Tao
- Dacheng and Li
- Xuelong
Description
Diffusion MRI, which is sensitive to the Brownian motion of molecules, has become today an excellent medical tool for probing the tissue micro-structure of cerebral white matter in vivo and non-invasively. It makes it possible to reconstruct fiber pathways and segment major fiber bundles that reflect the structures in the brain which are not visible to other non-invasive imaging modalities. Since this is possible without operating on the subject, but by integrating partial information from Diffusion Weighted Images into a reconstructed 'complete' image of diffusion, Diffusion MRI opens a whole new domain of image processing. Here we shall explore the role that tensors play in the mathematical model. We shall primarily deal with Cartesian tensors and begin with 2nd order tensors, since these are at the core of Diffusion Tensor Imaging. We shall then explore higher and even ordered symmetric tensors, that can take into account more complex micro-geometries of biological tissues such as axonal crossings in the white matter.
Abstract
http://www.springer.com/computer/computer+imaging/book/978-1-84882-298-6Additional details
Identifiers
- URL
- https://inria.hal.science/inria-00496858
- URN
- urn:oai:HAL:inria-00496858v1
Origin repository
- Origin repository
- UNICA