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Proceedings Paper

Comparison and evaluation of rigid and nonrigid registration of breast MR images
Author(s): Daniel Rueckert; Luke I. Sonoda; Erica R. E. Denton; S. Rankin; Carmel Hayes; Martin O. Leach; Derek L.G. Hill; David John Hawkes
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Paper 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.

Paper Details

Date Published: 21 May 1999
PDF: 11 pages
Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); doi: 10.1117/12.348637
Show Author Affiliations
Daniel Rueckert, Guy's Hospital (United Kingdom)
Luke I. Sonoda, Guy's Hospital (United Kingdom)
Erica R. E. Denton, King's College Hospital (United Kingdom)
S. Rankin, Guy's Hospital (United Kingdom)
Carmel Hayes, Royal Marsden Hospital (United Kingdom)
Martin O. Leach, Royal Marsden Hospital (United Kingdom)
Derek L.G. Hill, Guy's Hospital (United Kingdom)
David John Hawkes, Guy's Hospital (United Kingdom)


Published in SPIE Proceedings Vol. 3661:
Medical Imaging 1999: Image Processing
Kenneth M. Hanson, Editor(s)

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