Validation is arguably the bottleneck in the diffusion magnetic resonance imaging (MRI)
community. This paper evaluates and compares 20 algorithms for recovering the local intra …

This chapter reviews multiple‐fiber reconstruction algorithms for diffusion magnetic
resonance imaging (MRI) and provides some initial comparative results for two such …

Diffusion magnetic resonance imaging (MRI) is a relatively new imaging modality which is
capable of measuring the diffusion of water molecules in biological systems noninvasively …

It is now widely recognized that voxels with crossing fibers or complex geometrical
configurations present a challenge for diffusion MRI (dMRI) reconstruction and fiber tracking …

Design Camino is written in Java, and designed for a Unix-style interface. The user
documentation is in the form of Unix manual pages, and each program has a shell wrapper …

Recent advances in diffusion magnetic resonance image (dMRI) modeling have led to the
development of several state of the art methods for reconstructing the diffusion signal. These …

In this paper, we present a novel continuous mixture of diffusion tensors model for the
diffusion-weighted MR signal attenuation. The relationship between the mixing distribution …

Diffusion weighted magnetic resonance imaging enables the visualization of fibrous tissues
such as brain white matter. The validation of this non-invasive technique requires phantoms …

A major source of artifacts in diffusion‐weighted imaging is subject motion. Slow bulk subject
motion causes misalignment of data when more than one average or diffusion gradient …

At the current resolution of diffusion-weighted (DW) magnetic resonance imaging (MRI),
research groups agree that there are between one third to two thirds of imaging voxels in the …