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ECCV
2006
Springer

Algebraic Methods for Direct and Feature Based Registration of Diffusion Tensor Images

12 years 10 months ago
Algebraic Methods for Direct and Feature Based Registration of Diffusion Tensor Images
Abstract. We present an algebraic solution to both direct and featurebased registration of diffusion tensor images under various local deformation models. In the direct case, we show how to linearly recover a local deformation from the partial derivatives of the tensor using the so-called Diffusion Tensor Constancy Constraint, a generalization of the brightness constancy constraint to diffusion tensor data. In the feature-based case, we show that the tensor reorientation map can be found in closed form by exploiting the spectral properties of the rotation group. Given this map, solving for an affine deformation becomes a linear problem. We test our approach on synthetic, brain and heart diffusion tensor images.
Alvina Goh, René Vidal
Added 16 Oct 2009
Updated 16 Oct 2009
Type Conference
Year 2006
Where ECCV
Authors Alvina Goh, René Vidal
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