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smooth velocity vector fields

Smooth velocity vector fields are mathematical functions that assign a continuously differentiable vector, representing speed and direction of motion, to every point across a spatial domain and over time. In applied mathematics, continuum mechanics, and computational shape analysis, smoothness requires that these vector fields possess sufficient spatial and temporal derivatives to eliminate abrupt changes, tearing, or singularities. When integrated over time, smooth velocity vector fields generate continuous flows of trajectories that define smooth, invertible coordinate transformations known as diffeomorphisms. To guarantee that these deformations preserve topological structure without self-intersection, such fields are typically modeled within reproducing kernel Hilbert spaces or Sobolev spaces governed by regularity-enforcing differential operators.

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Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms

Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms

MIRZA FAISAL BEG, MICHAEL I. MILLER, ALAIN TROUVÉ, LAURENT YOUNES

OrganizationsENS Paris-SaclayJohns Hopkins UniversitySimon Fraser University

Why you should read this

Develops the algorithmic and mathematical foundation for large deformation diffeomorphic metric mapping by deriving Euler-Lagrange equations and implementing a semi-Lagrangian particle flow method to compute shortest-path geodesic transformations between anatomical images.

This paper examine the Euler-Lagrange equations for the solution of the large deformation diffeomorphic metric mapping problem studied in Dupuis et al. (1998) and Trouvé (1995) in which two images I0, I1 are given and connected via the diffeomorphic change of coordinates I0 ∘ φ−1 = I1 where φ = ϕ1 is the end point at t = 1 of curve ϕt, t ∈ [0, 1] satisfying ϕ̇t = vt(ϕt), t ∈ [0, 1] with ϕ0 = id. The variational problem takes the form argmin v:ϕ̇t=vt(ϕt) ( ∫0^1 ‖vt‖_V^2 dt + ‖I0 ∘ ϕ_1^−1 − I1‖_L^2^2 ), where ‖vt‖_V is an appropriate Sobolev norm on the velocity field vt(·), and the second term enforces matching of the images with ‖·‖_L^2 representing the squared-error norm. In this paper we derive the Euler-Lagrange equations characterizing the minimizing vector fields vt, t ∈ [0, 1] assuming sufficient smoothness of the norm to guarantee existence of solutions in the space of diffeomorphisms. We describe the implementation of the Euler equations using semi-Lagrangian method of computing particle flows and show the solutions for various examples. We also compute the metric distance on several anatomical configurations as measured by ∫0^1 ‖vt‖_V dt on the geodesic shortest paths.

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2026-09-18