A Geometry-Based Particle Filtering Approach to White Matter Tractography
Malcolm, James G.
MetadataShow full item record
CitationSavadjiev, Peter, Yogesh Rathi, James G. Malcolm, Martha E. Shenton, and Carl-Fredrik Westin. 2010. A Geometry-Based Particle Filtering Approach to White Matter Tractography. Lecture Notes in Computer Science: 233–240. doi:10.1007/978-3-642-15745-5_29.
AbstractWe introduce a fibre tractography framework based on a particle filter which estimates a local geometrical model of the underlying white matter tract, formulated as a `streamline flow' using generalized helicoids. The method is not dependent on the diffusion model, and is applicable to diffusion tensor (DT) data as well as to high angular resolution reconstructions. The geometrical model allows for a robust inference of local tract geometry, which, in the context of the causal filter estimation, guides tractography through regions with partial volume effects. We validate the method on synthetic data and present results on two types in vivo data: diffusion tensors and a spherical harmonic reconstruction of the fibre orientation distribution function (fODF).
Citable link to this pagehttp://nrs.harvard.edu/urn-3:HUL.InstRepos:28548998
- HMS Scholarly Articles