Nonrigid registration using a rigidity constraint

M. Staring, S. Klein, J.P.W. Pluim

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

18 Citations (Scopus)


Nonrigid registration is a technique commonly used in the field of medical imaging. A drawback of most current nonrigid registration algorithms is that they model all tissue as being nonrigid. When a nonrigid registration is performed, the rigid objects in the image, such as bony structures or surgical instruments, may also transform nonrigidly. Other consequences are that tumour growth between follow-up images may be concealed, or that structures containing contrast material in one image and not in the other may be compressed by the registration algorithm. In this paper we propose a novel regularisation term, which is added to the cost function in order to penalise nonrigid deformations of rigid objects. This regularisation term can be used for any representation of the deformation field capable of modelling locally rigid deformations. By using a B-spline representation of the deformation field, a fast algorithm can be devised. We show on 2D synthetic data, on clinical CT slices, and on clinical DSA images, that the proposed rigidity constraint is successful, thus improving registration results.
Original languageEnglish
Title of host publicationMedical Imaging 2006: Image Processing, 13 February 2006 through 16 February 2006, San Diego, CA
EditorsJ.M. Reinhardt, J.P.W. Pluim
Place of PublicationSan Diego
ISBN (Print)9780819464231
Publication statusPublished - 2006
Event2006 Medical Imaging : Image Processing - Town & Country Resort, San Diego, CA, United States
Duration: 11 Feb 200616 Feb 2006

Publication series

NameProceedings of SPIE
ISSN (Print)0277-786X


Conference2006 Medical Imaging : Image Processing
Country/TerritoryUnited States
CitySan Diego, CA
Other"Image Processing" / "Physiology, Function, and Structure from Medical Images"


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