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Flexible Shape Matching with Finite Element Based LDDMM.

Authors :
Günther, Andreas
Lamecker, Hans
Weiser, Martin
Source :
International Journal of Computer Vision. Nov2013, Vol. 105 Issue 2, p128-143. 16p. 19 Diagrams, 6 Charts.
Publication Year :
2013

Abstract

The Large Deformation Diffeomorphic Metric Mapping (LDDMM) framework acting on currents is a conceptually powerful tool for matching highly varying shapes. In the classical approach, the numerical treatment is based on currents representing individual particles, and couples the discretization of shape and deformation. This design restricts the capabilities of LDDMM. In this work, we propose to decouple current and deformation discretization by using conforming adaptive finite elements. We show how to efficiently (a) compute the temporal evolution of discrete $$m$$-current attributes for any $$m$$, and (b) incorporate multiple scales into the matching process. This effectively leads to more flexibility, which is demonstrated in several numerical experiments on anatomical shapes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09205691
Volume :
105
Issue :
2
Database :
Academic Search Index
Journal :
International Journal of Computer Vision
Publication Type :
Academic Journal
Accession number :
89894899
Full Text :
https://doi.org/10.1007/s11263-012-0599-3