This paper deals with the correction of distortions in EPI acquisitions. Echo-planar imaging (EPI) data is used in functional resonance imaging (fMRI) and in diffusion tensor MRI (...
This paper1 describes image processing techniques for Diffusion Tensor Magnetic Resonance. In Diffusion Tensor MRI, a tensor describing local water diffusion is acquired for each v...
Carl-Fredrik Westin, S. E. Maier, B. Khidhir, Pete...
In this paper we use advanced tensor visualization techniques to study 3D diffusion tensor MRI data of a heart. We use scalar and tensor glyph visualization methods to investigate...
Estimating white matter fiber pathways from a diffusion tensor MRI dataset has many important applications in medical research. However, the standard approach of performing track...
Diffusion tensor MRI is an imaging modality that is gaining importance in clinical applications. However, in a clinical environment, data have to be acquired rapidly, often at the...
Pierre Fillard, Vincent Arsigny, Xavier Pennec, Ni...
In this paper a novel visualisation method for diffusion tensor MRI datasets is introduced. This is based on the use of Complex Wavelets in order to produce "stripy" tex...
Diffusion tensor MRI probes and quantifies the anisotropic diffusion of water molecules in biological tissues, making it possible to non-invasively infer the architecture of the u...
Validation and method of comparison for segmentation of magnetic resonance images (MRI) presenting pathology is a challenging task due to the lack of reliable ground truth. We prop...
A software tool for analyzing Diffusion Tensor MRI (DT-MRI) data is presented. The tool includes methods for segmentation of white matter for automatic definition of seed points fo...
Hae-Jeong Park, Martha Elizabeth Shenton, Carl-Fre...
3D Bayesian regularization applied to diffusion tensor MRI is presented here. The approach uses Markov Random Field ideas and is based upon the definition of a 3D neighborhood syst...