Volume Preserving Image Registration

Eldad Haber, Jan Modersitzki


In this paper we discuss image registration techniques with a focus on volume preserving constraints. These constraints can reduce the non-uniqueness of the registration problem significantly. Our implementation is based on a constrained optimization formulation. To solve the problem we use a variant of the Sequential Quadratic Programming method. Moreover, we present results on synthetic as well as on real-life data.
Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention -- MICCAI 2004
EditorsChristian Barillot, David R. Haynor, Pierre Hellier
Number of pages8
Place of PublicationBerlin, Heidelberg
PublisherSpringer Berlin Heidelberg
Publication date01.09.2004
ISBN (Print)978-3-540-22976-6
ISBN (Electronic)978-3-540-30135-6
Publication statusPublished - 01.09.2004
Event 7th International Conference on Medical Image Computing and Computer-Assisted Intervention - Saint-Malo, France
Duration: 26.09.200429.09.2004
Conference number: 64990


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