Nonrigid registration using a rigidity constraint

Marius Staring; Stefan Klein; Josien P. W. Pluim

doi:10.1117/12.654362

10 March 2006 Nonrigid registration using a rigidity constraint

Marius Staring, Stefan Klein, Josien P. W. Pluim

Proceedings Volume 6144, Medical Imaging 2006: Image Processing; 614413 (2006) https://doi.org/10.1117/12.654362
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

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.

Citation Download Citation

Marius Staring, Stefan Klein, and Josien P. W. Pluim "Nonrigid registration using a rigidity constraint", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 614413 (10 March 2006); https://doi.org/10.1117/12.654362

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