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Fiber bundle estimation and parameterization.

Marc Niethammer1, Sylvain Bouix, Carl-Fredrik Westin

  • 1Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston MA, USA. marc@bwh.harvard.edu

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|March 16, 2007
PubMed
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Current magnetic resonance technology cannot resolve individual white matter fibers. This study introduces a novel level set representation and coordinate system for fiber bundles, enabling geometrically meaningful measures of white matter tracts.

Area of Science:

  • Neuroimaging
  • Computational Neuroscience
  • Medical Physics

Background:

  • Current magnetic resonance (MR) technology has limitations in resolving individual white matter fibers within a voxel.
  • Visualized fiber tracts are often interpolations on a coarse voxel grid, leading to ambiguity in representation.

Purpose of the Study:

  • To develop a level set representation for white matter fiber bundles to describe the continuum of fibers.
  • To introduce a coordinate system aligned with fiber bundle geometry for defining meaningful measures.

Main Methods:

  • Utilizing level set methods to create a continuous representation of fiber bundles.
  • Developing a warped coordinate system based on the fiber bundle's geometry.

Main Results:

Related Experiment Videos

  • A level set representation effectively describes the apparent continuum of fibers within a bundle.
  • The proposed coordinate system allows for the definition of geometrically meaningful fiber bundle measures.

Conclusions:

  • The level set representation offers a more accurate way to model white matter fiber bundles.
  • This approach facilitates the development of novel quantitative measures for brain connectivity analysis.