Integration of the neural processes in the human brain is realized through interconnections
that exist between different neural centers. These interconnections take place through white …

In this study, we have performed simulations to address the effects of diffusion encoding
parameters, signal‐to‐noise ratio (SNR) and T2 on skeletal muscle diffusion tensor indices …

A long-standing problem in magnetic resonance imaging (MRI) is the noise-induced bias in
the magnitude signals. This problem is particularly pressing in diffusion MRI at high diffusion …

Purpose: To compare diffusion tensor imaging (DTI) measurements at ultra high field
strength (7 Tesla [T]) in human volunteers with DTI measurements performed at 1.5 and 3 …

Diffusion tensor imaging (DTI) provides an indirect measure of tissue structure on a
microscopic scale. To date, DTI is the only imaging method that provides such information in …

The problem of constructing a set of uniformly distributed points on the surface of a sphere,
also known as the Thomson problem, has a long and interesting history, which dates back to …

The medical visualization pipeline ranges from medical imaging processes over several
data processing steps to the final rendering output. Each of these steps induces a certain …

The goal of this study is to characterize the potential effect of artifacts originating from
physiological noise on statistical analysis of diffusion tensor MRI (DTI) data in a population …

Diffusion weighted magnetic resonance signals convey information about tissue
microstructure and cytoarchitecture. In the last years, many models have been proposed for …

Data analysis in MRI usually entails a series of processing procedures. One of these
procedures is noise assessment, which in the context of this work, includes both the …