Weighted Diffeomorphic Density Matching with Applications to Thoracic Image Registration
Paper in proceedings, 2015

In this article we study the problem of thoracic image registration, in particular the estimation of complex anatomical deformations associated with the breathing cycle. Using the intimate link between the Riemannian geometry of the space of diffeomorphisms and the space of densities, we develop an image registration framework that incorporates both the fundamental law of conservation of mass as well as spatially varying tissue compressibility properties. By exploiting the geometrical structure, the resulting algorithm is computationally efficient, yet widely general.

Medical image registration


Optimal transport


Caleb Rottman

Martin Bauer

Klas Modin

Chalmers, Mathematical Sciences, Mathematics

University of Gothenburg

Sarang Joshi

Proceedings of the 5th MICCAI Workshop on Mathematical Foundations of Computational Anatomy (MFCA), Munich, Germany, October 9, 2015

Subject Categories

Computational Mathematics


Medical Image Processing


Basic sciences

Areas of Advance

Life Science Engineering (2010-2018)

More information