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IPMI
2007
Springer
13 years 11 months ago
Kernel-Based Manifold Learning for Statistical Analysis of Diffusion Tensor Images
Parmeshwar Khurd, Ragini Verma, Christos Davatziko...
ECCV
2004
Springer
13 years 10 months ago
Principal Geodesic Analysis on Symmetric Spaces: Statistics of Diffusion Tensors
Diffusion tensor magnetic resonance imaging (DT-MRI) is emerging as an important tool in medical image analysis of the brain. However, relatively little work has been done on produ...
P. Thomas Fletcher, Sarang C. Joshi
IPMI
2007
Springer
14 years 5 months ago
A Fuzzy, Nonparametric Segmentation Framework for DTI and MRI Analysis
This paper presents a novel statistical fuzzy-segmentation method for diffusion tensor (DT) images and magnetic resonance (MR) images. Typical fuzzy-segmentation schemes, e.g. thos...
Suyash P. Awate, James C. Gee
ETVC
2008
13 years 6 months ago
Statistical Computing on Manifolds: From Riemannian Geometry to Computational Anatomy
Computational anatomy is an emerging discipline that aims at analyzing and modeling the individual anatomy of organs and their biological variability across a population. The goal ...
Xavier Pennec
MICCAI
2007
Springer
14 years 5 months ago
Tract-Based Morphometry
Multisubject statistical analyses of diffusion tensor images in regions of specific white matter tracts have commonly measured only the mean value of a scalar invariant such as the...
Lauren O'Donnell, Carl-Fredrik Westin, Alexandra G...