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21 May 1999Comparison and evaluation of rigid and nonrigid registration of breast MR images

Daniel Rueckert,Luke I. Sonoda,Erica R. E. Denton,S. Rankin,Carmel Hayes,Martin O. Leach,Derek L.G. Hill,David John Hawkes

Author Affiliations +

Daniel Rueckert,¹ Luke I. Sonoda,¹ Erica R. E. Denton,² S. Rankin,¹ Carmel Hayes,³ Martin O. Leach,³ Derek L.G. Hill,¹ David John Hawkes¹

¹Guy's Hospital (United Kingdom)
²King's College Hospital (United Kingdom)
³Royal Marsden Hospital (United Kingdom)

Proceedings Volume 3661, Medical Imaging 1999: Image Processing; (1999)https://doi.org/10.1117/12.348637
Event:Medical Imaging '99, 1999, San Diego, CA, United States

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Abstract

In this paper we present a new approach for the non-rigid registration of contrast-enhanced breast MRI. A hierarchical transformation model of the motion of the breast has been developed. The global motion of the breast is modelled by an affine transformation while the local breast motion is described by a free-form deformation based on B-splines. Normalized mutual information is used as a voxel-based similarity measure which is insensitive to intensity changes as the result of the contrast enhancement. Registration is achieved by minimizing a cost function which represents a combination of the cost associated with the smoothness of the transformation and the cost associated with the image similarity. The algorithm has been applied to the fully automated registration of 3D breast MRI in volunteers and patients. In particular, we have compared the results of the proposed non-rigid registration algorithm to those obtained using rigid and affine registration techniques. The results clearly indicate that the non-rigid registration algorithm is much better able to recover the motion and deformation of the breast than rigid or affine registration algorithms.

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Daniel Rueckert,Luke I. Sonoda,Erica R. E. Denton,S. Rankin,Carmel Hayes,Martin O. Leach,Derek L.G. Hill, andDavid John Hawkes"Comparison and evaluation of rigid and nonrigid registration of breast MR images", Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999);https://doi.org/10.1117/12.348637

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