Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers

V J Wedeen1, R P Wang, J D Schmahmann

  • 1Department of Radiology, MGH Martinos Center for Biomedical Imaging, Harvard Medical School, Charlestown, MA 02129, USA. van@nmr.mgh.harvard.edu

Neuroimage
|May 23, 2008
PubMed

Insights

Diffusion spectrum imaging (DSI) tractography can map complex neural pathways, including crossing fibers, which diffusion tensor imaging (DTI) cannot resolve. This advancement enables more detailed non-invasive neuroimaging of brain connectivity.

Area of Science:

  • Neuroimaging
  • Diffusion MRI
  • Neuroanatomy

Background:

  • Diffusion MRI tractography maps neural pathways.
  • Diffusion Tensor Imaging (DTI) has limitations in resolving complex fiber orientations within a single voxel.
  • Diffusion Spectrum Imaging (DSI) was developed to overcome DTI's limitations.

Purpose of the Study:

  • To demonstrate the capability of Diffusion Spectrum Imaging (DSI) tractography in imaging crossing fibers in neural tissue.
  • To compare DSI tractography with Diffusion Tensor Imaging (DTI) for resolving complex neural structures.

Main Methods:

  • Performed DSI on formalin-fixed macaque brains and healthy human brains.
  • Constructed fiber tract solutions using a streamline procedure.
  • Analyzed tractography data using the TrackVis interactive visualization environment.

Main Results:

  • DSI tractography accurately depicted known fiber crossings in optic chiasm, centrum semiovale, and brainstem.
  • DSI tractography identified fiber intersections in gray matter (cerebellar folia, caudate nucleus) and radial architecture in cerebral cortex.
  • DTI analysis failed to identify these complex fiber crossings and structures in the same datasets.

Conclusions:

  • DSI tractography successfully images crossing fibers in neural tissue.
  • DSI tractography offers superior resolution for complex neural architecture compared to DTI.
  • This represents a significant advancement for non-invasive imaging of connectional neuroanatomy.