A Viscous Fluid Model for Multimodal Non-rigid Image Registration Using Mutual Information

We propose a multimodal free-form registration algorithm based on maximization of mutual information. The warped image is modeled as a viscous fluid that deforms under the influence of forces derived from the gradient of the mutual information registration criterion. Parzen windowing is used to estimate the joint intensity probability of the images to be matched. The method is evaluated for non-rigid inter-subject registration of MR brain images. The accuracy of the method is verified using simulated multi-modal MR images with known ground truth deformation. The results show that the root mean square difference between the recovered and the ground truth deformation is smaller than 1 voxel. We illustrate the application of the method for atlas-based brain tissue segmentation in MR images in case of gross morphological differences between atlas and patient images.

[1]  Guy Marchal,et al.  Multimodality image registration by maximization of mutual information , 1997, IEEE Transactions on Medical Imaging.

[2]  O. Faugeras,et al.  A variational approach to multi-modal image matching , 2001, Proceedings IEEE Workshop on Variational and Level Set Methods in Computer Vision.

[3]  Paul Suetens,et al.  Free-Form Registration Using Mutual Information and Curvature Regularization , 2003, WBIR.

[4]  Michael I. Miller,et al.  Deformable templates using large deformation kinematics , 1996, IEEE Trans. Image Process..

[5]  Guy Marchal,et al.  Multi-modality image registration by maximization of mutual information , 1996, Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis.

[6]  Daniel Rueckert,et al.  Nonrigid registration using free-form deformations: application to breast MR images , 1999, IEEE Transactions on Medical Imaging.

[7]  Paul Suetens,et al.  Non-rigid Multimodal Image Registration Using Mutual Information , 1998, MICCAI.

[8]  Max A. Viergever,et al.  A survey of medical image registration , 1998, Medical Image Anal..

[9]  Bostjan Likar,et al.  A hierarchical approach to elastic registration based on mutual information , 2001, Image Vis. Comput..

[10]  Gerardo Hermosillo Valadez.  Variational Methods for Multimodal Image Matching , 2002 .

[11]  Olivier D. Faugeras,et al.  Variational Methods for Multimodal Image Matching , 2002, International Journal of Computer Vision.

[12]  Morten Bro-Nielsen,et al.  Fast Fluid Registration of Medical Images , 1996, VBC.

[13]  Koenraad Van Leemput,et al.  Automated model-based tissue classification of MR images of the brain , 1999, IEEE Transactions on Medical Imaging.