pre-printWe present a framework for hypothesis testing of differences between groups of DTI ber tracts. An anatomical, tract-oriented coordinate system provides a basis for estimating the distribution of diffusion properties. The parametrization of sampled, smooth functions is normalized across a population using DTI atlas building. Functional data analysis, an extension of multivariate statistics to continuous functions is applied to the problem of hypothesis testing and discrimination. B-spline models of fractional anisotropy (FA) and Frobenius norm measures are analyzed jointly. Plots of the discrimination direction provide a clinical interpretation of the group differences. The methodology is tested on a pediatric study of subjects aged...
This work proposes a new method to detect abnormalities in fiber bundles of first-episode (FE) schiz...
Tract-based spatial statistics (TBSS) is a software pipeline widely used in comparative analysis of ...
This work proposes a new method to detect abnormalities in fiber bundles of first-episode (FE) schiz...
Diffusion tensor imaging (DTI) provides a unique source of information about the underlying tissue s...
Diffusion tensor imaging provides important information on tissue structure and orientation of fiber...
Diffusion tensor imaging (DTI) provides important information on the structure of white matter fiber...
Diffusion tensor imaging (DTI) provides important information on the structure of white matter fiber...
We propose a semiparametric Bayesian local functional model (BFM) for the analysis of multiple diffu...
International audienceDiffusion tensor imaging (DTI) has become the major modality to study properti...
journal articleDiffusion tensor imaging (DTI) has become the major modality to study properties of w...
Group analysis in diffusion tensor imaging is challenging. Comparisons of tensor morphology across g...
The aim of this paper is to present a functional analysis of diffusion tensor tract statistics (FADT...
Diffusion tensor imaging has become an important modality in the field of neuroimaging to capture ch...
LNCS v. 7917 entitled: Information processing in medical imaging : 23rd international conference, IP...
Abstract Background Information on anatomical connectivity in the brain by measurements of the diffu...
This work proposes a new method to detect abnormalities in fiber bundles of first-episode (FE) schiz...
Tract-based spatial statistics (TBSS) is a software pipeline widely used in comparative analysis of ...
This work proposes a new method to detect abnormalities in fiber bundles of first-episode (FE) schiz...
Diffusion tensor imaging (DTI) provides a unique source of information about the underlying tissue s...
Diffusion tensor imaging provides important information on tissue structure and orientation of fiber...
Diffusion tensor imaging (DTI) provides important information on the structure of white matter fiber...
Diffusion tensor imaging (DTI) provides important information on the structure of white matter fiber...
We propose a semiparametric Bayesian local functional model (BFM) for the analysis of multiple diffu...
International audienceDiffusion tensor imaging (DTI) has become the major modality to study properti...
journal articleDiffusion tensor imaging (DTI) has become the major modality to study properties of w...
Group analysis in diffusion tensor imaging is challenging. Comparisons of tensor morphology across g...
The aim of this paper is to present a functional analysis of diffusion tensor tract statistics (FADT...
Diffusion tensor imaging has become an important modality in the field of neuroimaging to capture ch...
LNCS v. 7917 entitled: Information processing in medical imaging : 23rd international conference, IP...
Abstract Background Information on anatomical connectivity in the brain by measurements of the diffu...
This work proposes a new method to detect abnormalities in fiber bundles of first-episode (FE) schiz...
Tract-based spatial statistics (TBSS) is a software pipeline widely used in comparative analysis of ...
This work proposes a new method to detect abnormalities in fiber bundles of first-episode (FE) schiz...