A geometry-based particle filtering approach to white matter tractography

Authors:
Peter Savadjiev;Yogesh Rathi;James G. Malcolm;Martha E. Shenton;Carl-Fredrik Westin
Affiliations:
Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA;Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA;Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA;Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA;Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
Venue:
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part II
Year:
2010

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Abstract

We 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).