Probabilistic tractography

Gabriel Girard, Dogu Baran Aydogan, Flavio Dell’Acqua, Alexander Leemans, Maxime Descoteaux, Stamatios N. Sotiropoulos

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

Tractography techniques map white matter bundles in the brain using diffusion magnetic resonance imaging (dMRI) data. These techniques use models to calculate paths where water molecule diffusion is least hindered, assuming these paths approximate the underlying white matter tracts, since diffusion is faster along tracts than across them. This assumption forms the basis of all tractography methods. However, these methods use various path calculation approaches to estimate white matter trajectories. This chapter reviews probabilistic tractography methods, which complement deterministic approaches by incorporating biophysical dispersion and capturing estimation uncertainty through stochastic modeling.

Original languageEnglish
Title of host publicationHandbook of Diffusion MR Tractography
Subtitle of host publicationImaging Methods, Biophysical Models, Algorithms and Applications
PublisherElsevier
Chapter14
Pages257-274
Number of pages18
ISBN (Electronic)9780128188941
ISBN (Print)9780128188958
DOIs
Publication statusPublished - 1 Jan 2025

Keywords

  • Bayesian inference
  • Bootstrapping
  • Dispersion
  • Fiber orientation distribution function
  • Probabilistic trajectories
  • Streamline propagation
  • Tractography
  • Uncertainty orientation distribution function
  • White matter trajectories

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