DocumentCode :
1252491
Title :
Nonrigid registration using free-form deformations: application to breast MR images
Author :
Rueckert, D. ; Sonoda, L.I. ; Hayes, C. ; Hill, D.L.G. ; Leach, M.O. ; Hawkes, D.J.
Author_Institution :
Div. of Radiol. Sci., King´´s Coll., London, UK
Volume :
18
Issue :
8
fYear :
1999
Firstpage :
712
Lastpage :
721
Abstract :
In this paper the authors present a new approach for the nonrigid 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 modeled by an affine transformation while the local breast motion is described by a free-form deformation (FFD) based on B-splines. Normalized mutual information is used as a voxel-based similarity measure which is insensitive to intensity changes as a 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 three-dimensional (3-D) breast MRI in volunteers and patients. In particular, the authors have compared the results of the proposed nonrigid registration algorithm to those obtained using rigid and affine registration techniques. The results clearly indicate that the nonrigid registration algorithm is much better able to recover the motion and deformation of the breast than rigid or affine registration algorithms.
Keywords :
biomechanics; biomedical MRI; image motion analysis; image registration; mammography; medical image processing; splines (mathematics); B-splines; MR mammography; MRI; affine transformation; breast motion; contrast enhancement; free-form deformation; global motion; hierarchical transformation model; intensity changes; local breast motion; magnetic resonance imaging; medical diagnostic imaging; voxel-based similarity measure; Biomedical imaging; Breast cancer; Breast tissue; Cancer detection; Cost function; Cyclic redundancy check; Diseases; Magnetic resonance imaging; Mammography; Medical diagnostic imaging; Breast; Female; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/42.796284
Filename :
796284
Link To Document :
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