Automatic time sequence alignment in contrast enhanced MRI by maximization of mutual information

The use of a contrast medium allows the high-resolution anatomical information provided by standard magnetic resonance to be combined with functional information obtained by means of diffusion of contrast agent in tissues or in the vascular net. To effectively use this kind of image for medical diagnosis, quantitative analysis should be performed. We propose an automatic registration procedure based on maximization of the mutual information that address the requirement of fast and automatic tools for quantitative analysis of contrast medium enhanced MR images. Two optimization algorithms for maximization of the mutual information are discussed, taking into account both time performance and registration quality. We present also preliminary results on cardiac and wrist MR images showing that misalignments and artifacts introduced by patient movement during the examination are greatly reduced by our application.

[1]  Xin Yang,et al.  Computer aided measurement of local myocardial perfusion in MRI , 1993, Proceedings of Computers in Cardiology Conference.

[2]  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.

[3]  Paul A. Viola,et al.  Alignment by Maximization of Mutual Information , 1997, International Journal of Computer Vision.

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

[5]  Bruno O. Shubert,et al.  Random variables and stochastic processes , 1979 .

[6]  M. Viergever,et al.  Medical image matching-a review with classification , 1993, IEEE Engineering in Medicine and Biology Magazine.

[7]  Athanasios Papoulis,et al.  Probability, Random Variables and Stochastic Processes , 1965 .

[8]  John A. Nelder,et al.  A Simplex Method for Function Minimization , 1965, Comput. J..

[9]  J. Hajnal,et al.  A Registration and Interpolation Procedure for Subvoxel Matching of Serially Acquired MR Images , 1995, Journal of computer assisted tomography.

[10]  J. Udupa,et al.  An objective comparison of 3-D image interpolation methods , 1998, IEEE Transactions on Medical Imaging.

[11]  William H. Press,et al.  Numerical recipes , 1990 .

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