4.5 Article

Morphological and Linear Scale Spaces for Fiber Enhancement in DW-MRI

Journal

JOURNAL OF MATHEMATICAL IMAGING AND VISION
Volume 46, Issue 3, Pages 326-368

Publisher

SPRINGER
DOI: 10.1007/s10851-012-0387-2

Keywords

Morphological scale spaces; Sub-Riemannian manifolds; Hamilton-Jacobi-Bellman equations; Viscosity solutions; Bellman processes; Diffusion-Weighted MRI; Diffusion Tensor Imaging

Funding

  1. European Commission under the Initial Training Network-FIRST [PITN-GA-2009-238702]

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We consider morphological and linear scale spaces on the space ae(3)a < SS (2) of 3D positions and orientations naturally embedded in the group SE(3) of 3D rigid body movements. The general motivation for these (convection-)diffusions and erosions is to obtain crossing-preserving fiber enhancement on probability densities defined on the space of positions and orientations. The strength of these enhancements is that they are expressed in a moving frame of reference attached to fiber fragments, allowing us to diffuse along the fibers and to erode orthogonal to them. The linear scale spaces are described by forward Kolmogorov equations of Brownian motions on ae(3)a < SS (2) and can be solved by convolution with the corresponding Green's functions. The morphological scale spaces are Bellman equations of cost processes on ae(3)a < SS (2) and we show that their viscosity solutions are given by a morphological convolution with the corresponding morphological Green's function. For theoretical underpinning of our scale spaces on ae(3)a < SS (2) we introduce Lagrangians and Hamiltonians on ae(3)a < SS (2) indexed by a parameter eta a[1,a). The Hamiltonian induces a Hamilton-Jacobi-Bellman system that coincides with our morphological scale spaces on ae(3)a < SS (2). By means of the logarithm on SE(3) we provide tangible estimates for both the linear- and the morphological Green's functions. We also discuss numerical finite difference upwind schemes for morphological scale spaces (erosions) of Diffusion-Weighted Magnetic Resonance Imaging (DW-MRI), which allow extensions to data-adaptive erosions of DW-MRI. We apply our theory to the enhancement of (crossing) fibres in DW-MRI for imaging water diffusion processes in brain white matter.

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