Virtual dissection of diffusion MRI tractograms is cumbersome and needs extensive knowledge
of white matter anatomy. This virtual dissection often requires several inclusion and …

Diffusion MRI (dMRI) provides invaluable information for the study of tissue microstructure
and brain connectivity, but suffers from a range of imaging artifacts that greatly challenge the …

Diffusion Imaging in Python (Dipy) is a free and open source software project for the
analysis of data from diffusion magnetic resonance imaging (dMRI) experiments. dMRI is an …

Tractography based on non-invasive diffusion imaging is central to the study of human brain
connectivity. To date, the approach has not been systematically validated in ground truth …

Diffusion MRI is a non-invasive technique to study brain microstructure. Differences in the
microstructural properties of tissue, including size and anisotropy, can be represented in the …

Diffusion MR data sets produce large numbers of streamlines which are hard to visualize,
interact with, and interpret in a clinically acceptable time scale, despite numerous proposed …

We have developed the Tractometer: an online evaluation and validation system for
tractography processing pipelines. One can now evaluate the results of more than 57,000 fiber …

Diffusion-weighted magnetic resonance imaging (dMRI) is the primary method for noninvasively
studying the organization of white matter in the human brain. Here we introduce QSIPrep…

White matter bundle segmentation using diffusion MRI fiber tractography has become the
method of choice to identify white matter fiber pathways in vivo in human brains. However, like …

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-…