Diffusion MRI visualization

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Diffusion MRI visualization

Review (2018)

Author(s)

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

Anna Vilanova (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group

Computer Graphics and Visualisation

Diffusion MRI Tractography Visualization Diffusion tensor

DOI related publication

https://doi.org/10.1002/nbm.3902 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:ff95d3eb-0997-4f0f-a203-e5dd3395900e

More Info

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Publication Year

2018

Language

English

Research Group

Computer Graphics and Visualisation

Journal title

NMR in Biomedicine

Issue number

4

Volume number

32 (2019)

Article number

e3902

Pages (from-to)

1-15

Downloads counter

185

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.