A variational setting for volume constrained image registration

Christiane Pöschl*, Jan Modersitzki, Otmar Scherzer

*Corresponding author for this work

Abstract

We consider image registration, which is the determination of a geometrical transformation between two data sets. In this paper we propose constrained variational methods which aim for controlling the change of area or volume under registration transformation. We prove an existence result, convergence of a finite element method, and present a simple numerical example for volume-preserving registration.

Original languageEnglish
JournalInverse Problems and Imaging
Volume4
Issue number3
Pages (from-to)505-522
Number of pages18
ISSN1930-8337
DOIs
Publication statusPublished - 01.08.2010

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Fingerprint

Dive into the research topics of 'A variational setting for volume constrained image registration'. Together they form a unique fingerprint.

Cite this