Diffusion MRI visualization

Review (2018)
Author(s)

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

Anna Vilanova (TU Delft - Computer Graphics and Visualisation)

DOI related publication
https://doi.org/10.1002/nbm.3902 Final published version
More Info
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Publication Year
2018
Language
English
Journal title
NMR in Biomedicine
Issue number
4
Volume number
32 (2019)
Article number
e3902
Pages (from-to)
1-15
Downloads counter
171

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.