Nonrigid registration using a rigidity constraint

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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

18 Citaten (Scopus)

Samenvatting

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.
Originele taal-2Engels
TitelMedical Imaging 2006: Image Processing, 13 February 2006 through 16 February 2006, San Diego, CA
RedacteurenJ.M. Reinhardt, J.P.W. Pluim
Plaats van productieSan Diego
UitgeverijSPIE
Pagina's614413-1/10
ISBN van geprinte versie9780819464231
DOI's
StatusGepubliceerd - 2006
Evenement2006 Medical Imaging : Image Processing - Town & Country Resort, San Diego, CA, Verenigde Staten van Amerika
Duur: 11 feb 200616 feb 2006

Publicatie series

NaamProceedings of SPIE
Volume6144
ISSN van geprinte versie0277-786X

Congres

Congres2006 Medical Imaging : Image Processing
Land/RegioVerenigde Staten van Amerika
StadSan Diego, CA
Periode11/02/0616/02/06
AnderMedical Imaging 2006: Image Processing

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