Conventional deformable registration methods are mostly driven by the interface between different brain structures. In recent years, Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) has been used in conjunction with other conventional Magnetic Resonance (MR) pulse sequences to provide more structural information during the registration process. Due to the geometric nature of the DT-MRI info...

Cardiac diffusion tensor magnetic resonance imaging (DT-MRI) is noise sensitive, and the noise can induce numerous systematic errors in subsequent parameter calculations. This paper proposes a sparse representation-based method for denoising cardiac DT-MRI images. The method first generates a dictionary of multiple bases according to the features of the observed image. A segmentation algorithm ...

In this paper, we propose three metrics to quantify the differences between the results of diffusion tensor magnetic resonance imaging (DT-MRI) fiber tracking algorithms: the area between corresponding fibers of each bundle, the Earth Mover’s Distance (EMD) between two fiber bundle volumes, and the current distance between two fiber bundle volumes. We also discuss an interactive fiber track com...

New diffusion-weighted imaging (DWI) methods, including high-b, q-space, and high angular resolution MRI methods, attempt to extract information about non-Gaussian diffusion in tissue that is not provided by low-b-value (b approximately 1000 s mm(-2)) diffusion or diffusion tensor magnetic resonance imaging (DT-MRI). Additionally, DWI data with higher spatial resolution are being acquired to re...

Diffusion tensor magnetic resonance imaging (DT-MRI) based fiber tractography aims at reconstruction of the fiber network of brain. Most commonly employed techniques for fiber tractography are based on the numerical integration of the principal diffusion directions. Although these approaches generate intuitive and easy to interpret results, they are prone to cumulative errors and mostly discard...

This prospective study developed an MRI-based method for identification of individual motor neuron disease (MND) patients and test its accuracy at the individual patient level in an independent sample compared with mimic disorders. 123 patients with amyotrophic lateral sclerosis (ALS), 44 patients with predominantly upper motor neuron disease (PUMN), 20 patients with ALS-mimic disorders, and 78...

Introduction Diffusion-weighted spectroscopy and diffusion-weighted spectroscopic imaging (DWSI) are expected to provide useful information about tissue microstructures and functions [1]. The diffusion tensor of metabolites is expected to provide more specific microstructures of such neurons; however, only a few studies using diffusion tensor spectroscopy (DTS) [2,3] and no studies using diffus...

Introduction: The determination of three-dimensional inner muscle architecture is the prerequisite to understand muscle deformation during contraction or to develop realistic finite element (FE) muscle models. Several recent studies have demonstrated that diffusion-tensor MRI (DT-MRI) allows quantitative determination of muscle fiber orientation in vivo in humans [1,2] as well as in animals [3,...

D. B. Ennis, G. Kindlmann, P. A. Helm, I. Rodriguez, E. R. McVeigh Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States, National, Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States, Computer Science, University of Utah, Salt Lake City, UT, United States Introduction: Tensor data are frequently a result of magnetic resonance im...