conclusion adc, fa, and t2* values may quantitatively reflect the microstructural characteristics of np, therefore they could be used to detect the minimal changes of early ldd. results the adc, fa, and t2* values were different (p < 0.05) among different rois within the same disc or among corresponding rois in different level discs. while the average values of adc increased regularly with the ...

In this work, we propose a novel method for deformable tensor-to-tensor registration of Diffusion Tensor Images. Our registration method models the distances in between the tensors with Geode-sic-Loxodromes and employs a version of Multi-Dimensional Scaling (MDS) algorithm to unfold the manifold described with this metric. Defining the same shape properties as tensors, the vector images obtaine...

In diffusion tensor imaging (DTI) an effective diffusion tensor in each voxel is measured by using a set of diffusion-weighted images (DWIs) in which diffusion gradients are applied in a multiplicity of oblique directions. However, to estimate the diffusion tensor accurately, one must account for the effects of all imaging and diffusion gradient pulses on each signal echo, which are embodied in...

Registration of diffusion-weighted magnetic resonance images (DW-MRIs) is a key step for population studies, or construction of brain atlases, among other important tasks. Given the high dimensionality of the data, registration is usually performed by relying on scalar representative images, such as the fractional anisotropy (FA) and non-diffusion-weighted (b0) images, thereby ignoring much of ...

J. Lee, M. K. Chung, A. L. Alexander Medical Physics, University of Wisconsin, Madison, WI, United States, Waisman Laboratory for Functional Brain Imaging and Behavior, Madison, WI, United States, Statistics, University of Wisconsin, Madison, WI, United States Introduction Diffusion tensor imaging (DTI) measures are very sensitive to noise [1]. These noise effects are even more increased as the...

For a few years, Diffusion Tensor Imaging (DTI) has received much attention. This new method of imaging allows non-invasive quantification of the diffusion of water in the brain. The formalism introduced by Basser [1] enables to assess the diffusion in each voxel (small cubes) of the brain. Conceptually, a diffusion tensor D is assigned to each voxel. The anisotropy of the tensors is then used ...

Diffusion tensor imaging (DTI) provides a unique source of information about the underlying tissue structure of brain white matter in vivo including both the geometry of major fiber bundles as well as quantitative information about tissue properties represented by derived tensor measures. This paper presents a method for statistical comparison of fiber bundle diffusion properties between popula...

Multimodality and Nonrigid Image Registration with Application to Diffusion Tensor Imaging Mohammed Khader The great challenge in image registration is to devise computationally efficient algorithms for aligning images so that their details overlap accurately. The first problem addressed in this thesis is multimodality medical image registration, which we formulate as an optimization problem in...

In this presentation, we introduce a novel method of regularizing the reconstruction of fiber directions from diffusion images. Diffusion Tensor Imaging (DTI) is a technique which extracts information from multiple Magnetic Resonance Images about the amount and orientation of diffusion within the body. It is used for brain connectivity studies, providing fundamental information about the white ...