White matter tract segmentation is a pivotal research area that leverages diffusion-weighted
magnetic resonance imaging (dMRI) for the identification and mapping of individual white …

White matter characterization studies use the information provided by diffusion magnetic
resonance imaging (dMRI) to draw cross-population inferences. However, the structure …

We present a Python library (Phybers) for analyzing brain tractography data. Tractography
datasets contain streamlines (also called fibers) composed of 3D points representing the …

Fiber tracking produces large tractography datasets that are tens of gigabytes in size
consisting of millions of streamlines. Such vast amounts of data require formats that allow for …

Diffusion magnetic resonance imaging, a non-invasive tool to infer white matter fiber
connections, produces a large number of streamlines containing a wealth of information on …

The development of diffusion magnetic resonance imaging (dMRI) coupled with the
subsequent introduction of techniques to model water diffusion within the brain tissue using …

The extraction of fibers from dMRI data typically produces a large number of fibers, it is
common to group fibers into bundles. To this end, many specialized distance measures …

Diffusion MRI fiber tracking datasets can contain millions of 3D streamlines, and their
representation can weight tens of gigabytes of memory. These sets of streamlines are called …

Understanding the structure and function of the human brain is an outstanding problem that
is critical to the development of efficient treatments for neurological diseases like Alzheimer's …

Diffusion MRI fiber tracking datasets can contain millions of 3D streamlines, and their
representation can weight tens of gigabytes of memory. These sets of streamlines are called …