Diffeomorphic density registration
Kapitel i bok, 2019

In this book chapter we study the Riemannian geometry of the density registration problem: Given two densities (not necessarily probability densities) defined on a smooth finite-dimensional manifold find a diffeomorphism which transforms one to the other. This problem is motivated by the medical imaging application of tracking organ motion due to respiration in thoracic CT imaging, where the fundamental physical property of conservation of mass naturally leads to modeling CT attenuation as a density. We will study the intimate link between the Riemannian metrics on the space of diffeomorphisms and those on the space of densities. We finally develop novel computationally efficient algorithms and demonstrate their applicability for registering thoracic respiratory correlated CT imaging.

Image registration

Optimal transport

Fisher-Rao metric

Diffeomorphism groups

Density registration

Information geometry

Random sampling


M. Bauer

Florida State University

S. Joshi

University of Utah

Klas Modin

Chalmers, Matematiska vetenskaper, Tillämpad matematik och statistik

Riemannian Geometric Statistics in Medical Image Analysis

9780128147269 (ISBN)




Medicinsk bildbehandling



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