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Non-rigid Registration Using Free-form Deformations: Application to Breast MR Images

Non-rigid Registration Using Free-form Deformations: Application to Breast MR Images,10.1109/42.796284,IEEE Transactions on Medical Imaging,Daniel Rue

Non-rigid Registration Using Free-form Deformations: Application to Breast MR Images   (Citations: 1098)
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In this paper we present a new approach for the nonrigid registration of contrast-enhanced breast MRI. A hierar- chical 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, we 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.
Journal: IEEE Transactions on Medical Imaging - TMI , vol. 18, no. 8, pp. 712-721, 1999
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    • ...The B-spline registration uses uniform grids over the MR image, and NMI is used as a similarity measure [19,32]...
    • ...A common technique to represent a free-form deformation is to employ spline functions as B-splines [32]...
    • ...Although the original B-splines equation is formulated for 3D-deformable objects [19,32], the spline functions in this paper are represented for 2D images...
    • ...We have compared the proposed method against two spline-based registration methods: (1) B-splines registration that maximizes the NMI computed from the raw intensities of the multimodal images [32] and (2) registration using TPS that uses contour-based automatic correspondences to solve the affine and TPS weight parameters [27]...
    • ...Table 1 shows the DSC, TRE, TLE, and 95% HD values as obtained from the experiments for B-spline deformations with NMI computed from intensities [32], our method for B-spline deformations with NMI computed from textures and TPS registration [27]...
    • ...NMI from intensities Rueckert et al. [32] NMI from Texture...

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