Medical image registration: Interpolations, similarities and optimizations strategies

This paper presents a study conducted for evaluating different interpolation schemes, similarity metrics and optimization algorithms for the purpose of volumetric medical image registration. Each technique has been implemented to be plugged in a modular system. Rotation, translation and scale error has been measured to obtain a performance evaluation for all of the combinations of the considered techniques. Several experimental tests were conducted for validation both on synthetic and real datasets providing an exhaustive overview of the various strategies used.

[1]  John G. Csernansky,et al.  Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older Adults , 2007, Journal of Cognitive Neuroscience.

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

[3]  Jan Flusser,et al.  Image registration methods: a survey , 2003, Image Vis. Comput..

[4]  Josien P. W. Pluim,et al.  Image Registration , 2003, IEEE Trans. Medical Imaging.

[5]  Josien P. W. Pluim,et al.  Image registration , 2003, IEEE Transactions on Medical Imaging.

[6]  D. Louis Collins,et al.  Design and construction of a realistic digital brain phantom , 1998, IEEE Transactions on Medical Imaging.

[7]  J. J. Moré,et al.  Levenberg--Marquardt algorithm: implementation and theory , 1977 .

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

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

[10]  D. Collins,et al.  Automatic 3D Intersubject Registration of MR Volumetric Data in Standardized Talairach Space , 1994, Journal of computer assisted tomography.

[11]  Roger L. Wainwright,et al.  LibGA: a user-friendly workbench for order-based genetic algorithm research , 1993, SAC '93.

[12]  Edoardo Ardizzone,et al.  Multi-modal image registration using fuzzy kernel regression , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

[13]  Stephen J. Wright,et al.  Numerical Optimization , 2018, Fundamental Statistical Inference.

[14]  Edoardo Ardizzone,et al.  Effective and efficient interpolation for mutual information based multimodality elastic image registration , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.