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2007
IEEE

Diffusion Maps Segmentation of Magnetic Resonance Q-Ball Imaging

9 years 3 months ago
Diffusion Maps Segmentation of Magnetic Resonance Q-Ball Imaging
We present a Diffusion Maps clustering method applied to diffusion MRI in order to segment complex white matter fiber bundles. It is well-known that diffusion tensor imaging (DTI) is restricted in complex fiber regions with crossings and this is why recent High Angular Resolution Diffusion Imaging (HARDI) such has Q-Ball Imaging (QBI) have been introduced to overcome these limitations. QBI reconstructs the diffusion orientation distribution function (ODF), a spherical function that has its maximum(a) agreeing with the underlying fiber population. In this paper, we use the ODF representation in a small set of spherical harmonic coefficients as input to the Diffusion Maps clustering method. We first show the advantage of using Diffusion Maps clustering over classical methods such as N-Cuts and Laplacian Eigenmaps. In particular, our ODF Diffusion Maps requires a smaller number of hypothesis from the input data, reduces the number of artifacts in the segmentation and automatically exhibi...
Demian Wassermann, Maxime Descoteaux, Rachid Deric
Added 16 Aug 2010
Updated 16 Aug 2010
Type Conference
Year 2007
Where ICCV
Authors Demian Wassermann, Maxime Descoteaux, Rachid Deriche
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