Kernel bundle EPDiff: evolution equations for multi-scale diffeomorphic image registration

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Abstract

In the LDDMM framework, optimal warps for image registration are found as end-points of critical paths for an energy functional, and the EPDiff equations describe the evolution along such paths. The Large Deformation Diffeomorphic Kernel Bundle Mapping (LDDKBM) extension of LDDMM allows scale space information to be automatically incorporated in registrations and promises to improve the standard framework in several aspects. We present the mathematical foundations of LDDKBM and derive the KB-EPDiff evolution equations, which provide optimal warps in this new framework. To illustrate the resulting diffeomorphism paths, we give examples showing the decoupled evolution across scales and how the method automatically incorporates deforma-
tion at appropriate scales.
Original languageEnglish
Title of host publicationScale Space and Variational Methods in Computer Vision : Third International Conference, SSVM 2011, Ein-Gedi, Israel, May 29 – June 2, 2011, Revised Selected Papers
EditorsAlfred Bruckstein, Bart M. ter Haar Romeny, Alexander M. Bronstein, Michael M. Bronstein
Number of pages12
PublisherSpringer
Publication date2012
Pages677-688
ISBN (Print)978-3-642-24784-2
ISBN (Electronic)978-3-642-24785-9
DOIs
Publication statusPublished - 2012
Event3rd International Conference on Scale Space and Variational Methods in Computer Vision - Ein-Gedi, Israel
Duration: 29 May 20112 Jun 2011
Conference number: 3

Conference

Conference3rd International Conference on Scale Space and Variational Methods in Computer Vision
Number3
Country/TerritoryIsrael
CityEin-Gedi
Period29/05/201102/06/2011
SeriesLecture notes in computer science
Volume6667
ISSN0302-9743

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