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ISBI
2007
IEEE

Postprocessing of Brain White Matter Fiber Orientation Distribution Functions

9 years 4 months ago
Postprocessing of Brain White Matter Fiber Orientation Distribution Functions
By acquiring high angular resolution diffusion weighted magnetic resonance images (HARDI), Q-Ball analysis can disclose the 3D organization of fibrous tissue such as the brain white matter. The resulting orientation distribution functions (ODFs) typically contain a lot of noise. Therefore we here present an ODF noise filtering technique as well as a regularization algorithm. In order to facilitate efficient fiber tractography (the 3D reconstruction of axonal fasciculi) a data reduction scheme was developed that extracts the most important fiber directions together with an estimate of their uncertainty as well as 2 new scale invariant white matter characteristics. We also present a new framework, with proof of concept, for fully ODF-based local clustering of major fiber tracts, based on matching neighbouring voxels using symmetric criteria.
Steven Delputte, Hans Dierckx, Els Fieremans, Yves
Added 03 Jun 2010
Updated 03 Jun 2010
Type Conference
Year 2007
Where ISBI
Authors Steven Delputte, Hans Dierckx, Els Fieremans, Yves D'Asseler, Eric Achten, Ignace Lemahieu
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