Diffusion MRI visualization

Review (2018)
Author(s)

T Schultz (Bonn-Aachen International Center for Information Technology, Universität Bonn)

A Vilanova (TU Delft - Computer Graphics and Visualisation)

Research Group
Computer Graphics and Visualisation
DOI related publication
https://doi.org/10.1002/nbm.3902
More Info
expand_more
Publication Year
2018
Language
English
Research Group
Computer Graphics and Visualisation
Issue number
4
Volume number
32 (2019)
Pages (from-to)
1-15

Abstract

Modern diffusion magnetic resonance imaging (dMRI) acquires intricate volume datasets and biological meaning can only be found in the relationship between its different measurements. Suitable strategies for visualizing these complicated data have been key to interpretation by physicians and neuroscientists, for drawing conclusions on brain connectivity and for quality control. This article provides an overview of visualization solutions that have been proposed to date, ranging from basic grayscale and color encodings to glyph representations and renderings of fiber tractography. A particular focus is on ongoing and possible future developments in dMRI visualization, including comparative, uncertainty, interactive and dense visualizations.

No files available

Metadata only record. There are no files for this record.