Spatial normalization of diffusion tensor images plays a key role in voxel-based analysis of
white matter (WM) group differences. Currently, it has been achieved using low-dimensional …

The in-vivo mechanical response of neural tissue during impact loading of the head is
simulated using geometrically accurate finite element (FE) head models. However, current …

In this work, we propose DR-TAMAS (Diffeomorphic Registration for Tensor Accurate
alignMent of Anatomical Structures), a novel framework for intersubject registration of …

Image registration is a common image processing task, and therefore, many algorithms have
been proposed and described to carry it out for different image modalities. However, the …

Digital human brain atlases play an increasingly critical role and are widely used in
neuroimaging studies such as developing biomarkers, training data for machine learning …

This thesis concerns with the registration of the diffusion tensor (DT) magnetic resonance
images which store a 3-D rank-2 Cartesian tensor at each voxel. This problem is of technical …

Determination of magnetic resonance imaging biomarkers for multiple sclerosis treatment
effects Page 1 General rights Copyright and moral rights for the publications made accessible …

Cardiac fiber architecture can be characterized through DTI (1), resulting in a better
understanding of the electrical and mechanical behavior of the heart. Structural remodeling …

The purpose of this paper is to register ex-vivo cardiac diffusion tensor images using affine
transformations and the preservation of the principal direction reorientation strategy. We …

Understanding the anatomical changes in the connectional network of the human brain is an
important research problem in cognitive and clinical neuroscience that could give improved …