Reorientation of fiber orientation distributions using apodized point spread functions

David Raffelt*, Jacques-Donald Tournier, Stuart Crozier, Alan Connelly, Olivier Salvado

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

85 Citations (Scopus)

Abstract

Using high angular resolution diffusion-weighted images, spherical deconvolution enables multiple white matter fiber populations to be resolved within a single voxel by computing the fiber orientation distribution (FOD). Higher order information provided by FODs could improve several methods for investigating population differences in white matter, including image registration, voxel-based analysis, atlas-based segmentation and labeling, and group average fiber tractography. All of these methods require spatial normalization of FODs. In this article, a novel method to reorient the FOD is presented, which is an important step required for FOD spatial normalization. The proposed method was assessed using both qualitative and quantitative experiments, with numerical simulations and in vivo human data. Results demonstrate that the proposed method improves FOD reorientation accuracy, removes undesired artefacts, and decreases computation time compared to a previous approach. The utility of the proposed method is illustrated by nonlinear FOD spatial normalization of 10 human subjects. Accurate reorientation and normalization of FODs is a critical step toward investigating white matter tissue in the context of multiple fiber orientations.

Original languageEnglish
Pages (from-to)844-855
Number of pages12
JournalMagnetic Resonance in Medicine
Volume67
Issue number3
DOIs
Publication statusPublished - Mar 2012

Keywords

  • fiber orientation distribution
  • reorientation
  • normalization
  • diffusion MRI
  • IN-DIFFUSION MRI
  • SPHERICAL DECONVOLUTION
  • REGISTRATION
  • IMAGES
  • BRAIN

Fingerprint

Dive into the research topics of 'Reorientation of fiber orientation distributions using apodized point spread functions'. Together they form a unique fingerprint.

Cite this