Published July 5, 2009
| Version v1
Conference paper
A statistical model of white matter fiber bundles based on currents.
Contributors
Others:
- Analysis and Simulation of Biomedical Images (ASCLEPIOS) ; Centre Inria d'Université Côte d'Azur (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- Centre de Mathématiques et de Leurs Applications (CMLA) ; École normale supérieure - Cachan (ENS Cachan)-Centre National de la Recherche Scientifique (CNRS)
- Laboratoire de Neuroimagerie Assistée par Ordinateur (LNAO) ; Commissariat à l'énergie atomique et aux énergies alternatives (CEA)
- Jerry L. Prince and Dzung L. Pham and Kyle J. Meyers
Description
The purpose of this paper is to measure the variability of a population of white matter fiber bundles without imposing unrealistic geometrical priors. In this respect, modeling fiber bundles as currents seems particularly relevant, as it gives a metric between bundles which relies neither on point nor on fiber correspondences and which is robust to fiber interruption. First, this metric is included in a diffeomorphic registration scheme which consistently aligns sets of fiber bundles. In particular, we show that aligning directly fiber bundles may solve the aperture problem which appears when fiber mappings are constrained by tensors only. Second, the measure of variability of a population of fiber bundles is based on a statistical model which considers every bundle as a random diffeomorphic deformation of a common template plus a random non-diffeomorphic perturbation. Thus, the variability is decomposed into a geometrical part and a "texture" part. Our results on real data show that both parts may contain interesting anatomical features.
Abstract
International audienceAdditional details
Identifiers
- URL
- https://inria.hal.science/inria-00502721
- URN
- urn:oai:HAL:inria-00502721v1
Origin repository
- Origin repository
- UNICA