Spatially adaptive metrics for diffeomorphic image matching in LDDMM
Laurent Rissera,c; François-Xavier Vialardb,c aInstitut de Mathématiques de Toulouse, CNRS, Université de Toulouse, UMR CNRS 5219, Toulouse, FrancebLaboratoire d'informatique Gaspard Monge, Université Paris-Est Marne-la-Vallée, UMR CNRS 8049, Champs sur Marne, FrancecBoth authors equally contributed to the chapter.
Registering two medical images consists in computing a mapping between the organs of interest they contain. Although this mapping is dense in space, it can only be accurately estimated based on significant intensity variations in the images, which is a sparse information. Using deformation regularization properties that are physiologically meaningful is ...
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