+ Site Statistics
References:
54,258,434
Abstracts:
29,560,870
PMIDs:
28,072,757
+ Search Articles
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ PDF Full Text
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Translate
+ Recently Requested

Comparative evaluation of multiresolution optimization strategies for multimodality image registration by maximization of mutual information



Comparative evaluation of multiresolution optimization strategies for multimodality image registration by maximization of mutual information



Medical Image Analysis 3(4): 373-386



Maximization of mutual information of voxel intensities has been demonstrated to be a very powerful criterion for three-dimensional medical image registration, allowing robust and accurate fully automated affine registration of multimodal images in a variety of applications, without the need for segmentation or other preprocessing of the images. In this paper, we investigate the performance of various optimization methods and multiresolution strategies for maximization of mutual information, aiming at increasing registration speed when matching large high-resolution images. We show that mutual information is a continuous function of the affine registration parameters when appropriate interpolation is used and we derive analytic expressions of its derivatives that allow numerically exact evaluation of its gradient. Various multiresolution gradient- and non-gradient-based optimization strategies, such as Powell, simplex, steepest-descent, conjugate-gradient, quasi-Newton and Levenberg-Marquardt methods, are evaluated for registration of computed tomography (CT) and magnetic resonance images of the brain. Speed-ups of a factor of 3 on average compared to Powell's method at full resolution are achieved with similar precision and without a loss of robustness with the simplex, conjugate-gradient and Levenberg-Marquardt method using a two-level multiresolution scheme. Large data sets such as 256(2) x 128 MR and 512(2) x 48 CT images can be registered with subvoxel precision in <5 min CPU time on current workstations.

(PDF emailed within 1 workday: $29.90)

Accession: 045583468

Download citation: RISBibTeXText

PMID: 10709702


Related references

Multimodality image registration by maximization of mutual information. IEEE Transactions on Medical Imaging 16(2): 187-198, 1997

Interpolation artifacts in multimodality image registration based on maximization of mutual information. IEEE Transactions on Medical Imaging 22(7): 854-864, 2003

Optimization of mutual information for multiresolution image registration. IEEE Transactions on Image Processing 9(12): 2083-2099, 2008

Study of mutual information multimodality medical image registration based on modified simplex optimization method. Optik - International Journal for Light and Electron Optics 124(21): 4754-4757, 2013

Multimodality image registration based on statistical similarity criterion and multiresolution optimization. Lemke, Heinz U [Author], Inamura, Kiyonari [Author], Doi, Kunio [Author], Vannier, Michael W [Author], Farman, Allan G [Author] International Congress Series CARS : Computer Assisted Radiology and Surgery 555-560, 2000

Image registration by maximization of combined mutual information and gradient information. IEEE Transactions on Medical Imaging 19(8): 809-814, 2000

Multiresolution registration of remote sensing imagery by optimization of mutual information using a stochastic gradient. IEEE Transactions on Image Processing 12(12): 1495-1511, 2008

Evaluation of optimization methods for nonrigid medical image registration using mutual information and B-splines. IEEE Transactions on Image Processing 16(12): 2879-2890, 2007

First-pass myocardial perfusion image registration by maximization of normalized mutual information. Journal of Magnetic Resonance Imaging 27(3): 529-537, 2008

Medical image registration by maximization of combined mutual information and edge correlative deviation. Conference Proceedings 6: 6379-6382, 2007

Automatic image registration of three-dimensional images of the head of cats and dogs by use of maximization of mutual information. American Journal of Veterinary Research 65(12): 1680-1687, 2004

Automatic image registration of three-dimensional images of the head of cats and dogs by use of maximization of mutual information. American Journal of Veterinary Research 65(12): 1680-1687, 2005

Multimodality medical image registration and fusion techniques using mutual information and genetic algorithm-based approaches. Advances in Experimental Medicine and Biology 696: 441-449, 2011

Second-order optimization of mutual information for real-time image registration. IEEE Transactions on Image Processing 21(9): 4190-4203, 2012

Combined approach to optimization of image registration based on mutual information function. Lemke, H U, Vannier, M W, Inamura, K, Farman, A G International Congress Series; Computer assisted radiology and surgery 1005, 1999