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A discretize–optimize approach for LDDMM registration

Thomas Polzina; Marc Niethammerb,c; François-Xavier Vialardd; Jan Modersitzkia,e    aInstitute of Mathematics and Image Computing, University of Lübeck, Lübeck, GermanybDepartment of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, United StatescBiomedical Research Imaging Center (BRIC), Chapel Hill, NC, United StatesdLaboratoire d'informatique Gaspard Monge, Université Paris-Est Marne-la-Vallée, UMR CNRS 8049, Champs sur Marne, FranceeFraunhofer MEVIS, Lübeck, Germany

Abstract

Large deformation diffeomorphic metric mapping (LDDMM) is a popular approach for deformable image registration with nice mathematical properties. LDDMM encodes spatial deformations through ...

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