Statistical Modeling for Shapes and Imaging

Collection Statistical Modeling for Shapes and Imaging

Organizer(s)
Date(s) 03/05/2024
00:00:00 / 00:00:00
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We solve and analyze PDEs on the homogeneous space of positions and orientations. This homogeneous space is given by $\mathbb M=SE(d)/H$ where $SE(d)$ is the roto-translation Lie group and $H\equiv SO(d−1)$ the subgroup of rotations around a reference axis. We consider $d\in{2,3}$ with emphasis on $d=3$.

We solve the following PDEs on $\mathbb M$ analytically:

– Degenerate and non-degenerate (convection-)diffusion systems on $\mathbb M$, cf. [1] – Forward Kolmogorov PDEs of $\alpha$-stable Lévy processes on $\mathbb M$, cf. [2].

this is done by a Fourier transform on $\mathbb M$, cf. [2].

We solve the following PDEs on $\mathbb M$ numerically:

– Nonlinear Diffusions on $\mathbb M$, cf. [3], – Mean Curvature Flows and Total Variation Flows on $\mathbb M$, cf. [4] ($d= 2,3$), [5, 6] ($d= 2$), – Eikonal PDEs for sub-Riemannian and Finslerian geodesic front propagation on $\mathbb M$, cf. [7, 8],

via anisotropic fast-marching [10], left-invariant finite difference techniques [11] or Monte-Carlo simula-tions [2] of the underlying SDEs. The numerics is tested to our new exact solutions of the PDEs [2, 12] and of the sub-Riemannian geodesics in $\mathbb M$ [13].

We show their applications in medical image analysis in enhancement of fibers/blood vessels in 2D and 3D medical images [3, 4], and in fiber-enhancement [14], denoising [4], fiber-tracking [15], and structuralconnectivity quantification [16] in DW-MRI.

Information about the video

  • Date of recording 13/03/2019
  • Date of publication 16/04/2019
  • Institution IHP
  • Language English
  • Format MP4
  • Venue Institut Henri Poincaré

Bibliography

  1. J.M. Portegies and R. Duits, “New Exact and Numerical Solutions of the (Convection-)Diffusion Kernels on SE(3)” Diffential Geometry and Applications (DGA), 53, p.182–219, 2017
  2. R. Duits, E.J. Bekkers and A. Mashtakov, “Fourier Transform on the Homogeneous Space of 3D Positions andOrientations for Exact Solutions to PDEs”, Entropy (Special Issue Joseph Fourier 250th Birthday: Modern Fourier Analysis and Fourier Heat Equation inInformation Sciences for the XXIst century, 21(1), p.1–38, 2019.
  3. M.H.J.Janssen, A.J.E.M. Janssen, E.J.Bekkers, J.Olivan Bescos, R.Duits. “Design and Processing of Invertible Ori-entation Scores of 3D Images”, JMIV 60(9), p.1427–1458, 2018.
  4. R. Duits, E. St. Onge, J.W. Portegies, B.M.N. Smets. “Total Variation and Mean Curvature PDEs on the Space ofPositions and Orientations”, submitted.
  5. Citti, G., Franceschiello, B., Sanguinetti, G., Sarti, A. “Sub-Riemannian mean curvature flow for image processing”. SIAM-SIIMS 9(1), 212–237, 2016.
  6. Chambolle, A., Pock, T.: “Total roto-translation variation”. Arxiv:17009.099532v2 pp. 1–47, july 2018.
  7. R. Duits, S. Meesters, J. Mirebeau, and J.M. Portegies, “Optimal paths for variants of the 2d and 3d Reeds-Sheppcar with applications in image analysis,” J Math Imaging Vis60, p.816–848, 2018.
  8. E. Bekkers, R. Duits, A. Mashtakov, and G. Sanguinetti. “A PDE Approach to Data-Driven Sub-RiemannianGeodesics in SE(2)”.SIAM J. Imaging Sci., 8(4):2740–2770, 2015.
  9. J-M. Mirebeau. “Anisotropic Fast-Marching on Cartesian Grids Using Lattice Basis Reduction.” SIAM J. Numer.Anal., 52(4):1573–1599, January 2014.
  10. J-M. Mirebeau. “Fast-Marching Methods for Curvature Penalized Shortest Paths.”J Math Imaging Vis(60),p.784–815, 2018.
  11. E.J. Creusen, R.Duits, A.Vilanova, and L.M.J.Florack. “for linear and non-linear enhancement of DW-MRI” Num.Meth. Theory and Appl., (6)1, p.138–168, 2013.
  12. J.Zhang & R.Duits, B.M.ter Haat Romeny, G.R. Sanguinetti. “Numerical Approaches for Linear Left-invariant Diffusions on SE(2), their Comparison to Exact Solutions, and their Applications in Retinal Imaging.” Num. Meth.Theory and Appl.9(1), p.1–50, 2016.
  13. R. Duits, A. Ghosh, T. C. J. Dela Haije, and A. Mashtakov. On Sub-Riemannian Geodesics in SE(3) Whose Spatial Projections do not Have Cusps.J Dyn Control Syst, 22(4):771–805, October 2016.
  14. J.M. Portegies, R.H.J. Fick, G.R. Sanguinetti, S.P.L. Meesters, G. Girard, R. Duits. “ Improving fiber alignment inHARDI by combining contextual PDE flow with constrained spherical deconvolution.” PloS One10 (10), 2015.
  15. S. Meesters, P. Ossenblok, L. Wagner, O. Schijns, P. Boon, L.M.J. Florack, A. Vilanova, R. Duits. Stability metricsfor optic radiation tractography: Towards damage prediction after resective surgery. Journal of Neuroscience Methods (288), pp.34–44, 2017
  16. J.M. Portegies, S. Meesters, P. Ossenblok, A. Fuster, L.M.J. Florack, R. Duits. “ Brain Connectivity Measures viaDirect Sub-Finslerian Front Propagation on the 5D Sphere Bundle of Positions and Directions” MICCAI CDMRIin press, to appear in 2019. www.bmia.bmt.tue.nl/people/RDuits/brainconnectivity-Final.pdf

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