Diffusion MRI Visualization
In: NMR in Biomedicine (2019), 32(e3902)
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 this complicated data has been key to interpretation by physicians and neuroscientists, for drawing conclusions on brain connectivity, and for quality control. This paper 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.
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Bibtex
@ARTICLE{Schultz:NBM2018,
author = {Schultz, Thomas and Vilanova, Anna},
pages = {e3902},
title = {Diffusion MRI Visualization},
journal = {NMR in Biomedicine},
volume = {32},
year = {2019},
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 this complicated data has been key to interpretation by
physicians and neuroscientists, for drawing conclusions on brain connectivity, and for quality
control. This paper 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.},
url = {http://rdcu.be/IOR9},
doi = {10.1002/nbm.3902}
}