THE MULTIVARIATE A/C/E MODEL AND THE GENETICS OF FIBER ARCHITECTURE (2009)
Agatha D. Lee, Natasha Leporé, Caroline C. Brun, Marina Barysheva, Yi-yu Chou, Ming-chang Chiang, ...
We present a new algorithm to compute the voxel-wise genetic contribution to brain fiber microstructure using diffusion tensor imaging (DTI) in a dataset of 25 pairs of monozygotic (MZ) twins and 25...
Can tissue segmentation improve registration? A study of 92 twins (2009)
Yi-yu Chou, Natasha Leporé, Caroline Brun, Marina Barysheva, Katie Mcmahon, ...
Introduction: Robust and automatic non-rigid registration depends on many parameters that have not yet been systematically explored. Here we determined how tissue classification influences non-linear...
Yi-yu Chou, Natasha Leporé, Christina Avedissian, Sarah K. Madsen, Xue Hua, Clifford R. Jack, ...
We developed an automated analysis pipeline to analyze 3D changes in ventricular morphology; it provides a highly sensitive quantitative marker of Alzheimer’s disease (AD) progression for MRI...
A LAGRANGIAN FORMULATION FOR STATISTICAL FLUID REGISTRATION (2009)
Caroline C. Brun, Natasha Lepore, Xavier Pennec, Yi-yu Chou, Agatha D. Lee, Marina Barysheva, ...
We defined a new statistical fluid registration method with Lagrangian mechanics. Although several authors have suggested that empirical statistics on brain variation should be incorporated into the...
SURFACE AND VOLUME REGISTRATION OF BRAIN MAGNETIC RESONANCE IMAGES (2009)
Natasha Leporé, A. Joshi, Richard Leahy, Caroline Brun, Yi-yu Chou, Xavier Pennec, ...
3D volumetric registration of brain images is particularly challenging in cortical regions due to their high complexity and folding. Here we develop a new combined algorithm for surface and volume...
IMPROVING FLUID REGISTRATION THROUGH WHITE MATTER SEGMENTATION (2009)
Yi-yu Chou, Natasha Leporé, Caroline C. Brun, Agatha D. Lee, Marina Barysheva, ...
Robust and automatic non-rigid registration depends on many parameters that have not yet been systematically explored. Here we determined how tissue classification influences non-linear fluid...
Multi-Atlas Tensor-Based Morphometry and its Application to a Genetic Study of 92 Twins (2009)
Natasha Leporé, Caroline Brun, Yi-yu Chou, Agatha D. Lee, Matthew Meredith, ...
Abstract. Here we develop a multi-template analysis for tensor-based morphometry (TBM) which aims to reduce error from the registration step. In conventional TBM, a single template is nonlinearly...
Yi-yu Chou, Natasha Leporé, Marina Barysheva, Ming-chang Chiang, Katie Mcmahon, Greig De Zubicaray, ...
Despite substantial progress in measuring the 3D profile of anatomical variations in the human brain, their genetic and environmental causes remain enigmatic. We developed an automated system to...
Natasha Lepore, Caroline Brun, Yi-yu Chou, Ming-chang Chiang, Rebecca A. Dutton, Kiralee M. Hayashi, ...
Abstract—This paper investigates the performance of a new multivariate method for tensor-based morphometry (TBM). Statistics on Riemannian manifolds are developed that exploit the full information...
Yi-yu Chou, Natasha Leporé, Marina Barysheva, Ming-chang Chiang, Katie Mcmahon, Greig De Zubicaray, ...
Imaging genetics is a new field of brain mapping in which genetic influences on brain structure can be quantified and mapped in entire populations. Here we fitted genetic models to computational maps...
Paul M. Thompson 1, and the Alzheimer's Disease Neuroimaging Initiative (2009)
Yi-yu Chou, Natasha Leporé, Christina Avedissian, Sarah K. Madsen, Xue Hua, Clifford R. Jack, ...
Abstract. We developed an automated analysis pipeline to analyze 3D changes in ventricular morphology; it provides a highly sensitive quantitative marker of Alzheimer’s disease (AD) progression for...
3D pattern of brain changes in deaf subjects using Tensor-Based Morphometry (2009)
Natasha Leporé, Patrick Vachon, Franco Lepore, Yi-yu Chou, Caroline Brun, Agatha D. Lee, ...
INTRODUCTION: In the congenital deaf, functional reorganization is known to occur throughout brain regions normally associated with hearing. However, the anatomical correlates of these changes are...
Caroline Brun, Natasha Lepore, Xavier Pennec, Yi-yu Chou, Oscar L. Lopez, Howard J. Aizenstein, ...
Abstract. Tensor-based morphometry (TBM) is an analysis approach that can be applied to structural brain MRI scans to detect group differences or changes in brain structure. TBM uses nonlinear image...
BEST INDIVIDUAL TEMPLATE SELECTION FROM DEFORMATION TENSOR MINIMIZATION (2009)
Natasha Leporé, Caroline Brun, Yi-yu Chou, Agatha D. Lee, Marina Barysheva, Xavier Pennec, ...
We study the influence of the choice of template in tensorbased morphometry. Using 3D brain MR images from 10 monozygotic twin pairs, we defined a tensor-based distance in the log-Euclidean framework...
Agatha D. Lee, Natasha Leporé, Marina Barysheva, Yi-yu Chou, Caroline Brun, Sarah K. Madsen, ...
We used diffusion tensor magnetic resonance imaging (DTI) to reveal the extent of genetic effects on brain fiber microstructure, based on tensor-derived measures, in 22 pairs of monozygotic (MZ)...
Mean Template for Tensor-Based Morphometry using Deformation Tensors (2008)
Natasha Lepore, Caroline Brun, Xavier Pennec, Yi-yu Chou, Oscar L. Lopez, Howard J. Aizenstein, ...
Abstract. Tensor-based morphometry (TBM) studies anatomical differences between brain images statistically, to identify regions that differ between groups, over time, or correlate with cognitive or...
Yi-yu Chou, Natasha Leporé, Stephen E. Rose, Owen T. Carmichael, James T. Becker, ...
We developed and validated a new method to create automated 3D parametric surface models of the lateral ventricles, designed for monitoring degenerative disease effects in clinical neuroscience...
Caroline Brun, Natasha Leporé, Xavier Pennec, Yi-yu Chou, Agatha D. Lee, Grieg De Zubicaray, ...
In structural brain MRI, group differences or changes in brain structures can be detected using Tensor-Based Morphometry (TBM). This method consists of two steps: (1) a non-linear registration step,...
MAPPING GENETIC INFLUENCES ON VENTRICULAR STRUCTURE IN TWINS (2008)
Yi-yu Chou, Natasha Leporé, Ming-chang Chiang, Christina Avedissian, Marina Barysheva, Katie Mcmahon, ...
doi:10.1016/j.neuroimage.2008.10.036
Transitive and Symmetric Nonrigid Image Registration (2004)
The main topic of this thesis is nonrigid image registration for medical applications. We start with an overview and classification of existing registration techniques. We develop a general nonrigid...
Transitive and Symmetric Nonrigid Image Registration (2004)
The main topic of this thesis is nonrigid image registration for medical applications. We start with an overview and classification of existing registration techniques. We develop a general nonrigid...
Transitive and Symmetric Nonrigid Image Registration (2004)
The main topic of this thesis is nonrigid image registration for medical applications. We start with an overview and classification of existing registration techniques. We develop a general nonrigid...
Transitive and Symmetric Nonrigid Image Registration (2004)
The main topic of this thesis is nonrigid image registration for medical applications. We start with an overview and classification of existing registration techniques. We develop a general nonrigid...
Transitive and symmetric nonrigid image registration (2004)
Thesis (M.S.)--School of Biomedical Engineering, Georgia Institute of Technology, 2005.
Transitive and symmetric nonrigid image registration [electronic resource] / (2004)
The main topic of this thesis is nonrigid image registration for medical applications. We start with an overview and classification of existing registration techniques. We develop a general nonrigid...
Transitive and symmetric nonrigid image registration (2004)
Thesis (M.S.)--School of Biomedical Engineering, Georgia Institute of Technology, 2005.