Improved B-spline Elastic Registration for Medical Image Based on Feature Extraction

In order to improve the accuracy and efficiency of medical image registration, an elastic registration method based on feature extraction and B-spline has been proposed in this paper. The proposed method consists of two steps. First, feature points are obtained by using Harris corner detection algorithm and SIFT algorithm. They are used for the input of Thin Plate Spline method to reduce the scale of deformation by preliminary transformation. It is beneficial to improve the speed of B-spline registration, which is used in the second step of the proposed method. Then the deformation grid is treated as the initial grid of B-spline free-form deformation (FFD), and accurate registration is achieved by B-spline transformation of mutual information (MI) driving. Experimental results demonstrate that the running time and registration results of the proposed method are superior to those of B-spline registration due to the combination of the efficiency of preliminary transformation and the accuracy of B-spline. Keywords—medical image; elastic registration; feature extraction; B-spline

[1]  Tianzi Jiang,et al.  Nonrigid registration of brain MRI using NURBS , 2007, Pattern Recognit. Lett..

[2]  Yang Ming.  A reliable algorithm for image matching based on SIFT , 2012 .

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

[4]  Martin J Murphy,et al.  Optimized knot placement for B-splines in deformable image registration. , 2011, Medical physics.

[5]  Fred L. Bookstein,et al.  Principal Warps: Thin-Plate Splines and the Decomposition of Deformations , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  孙济洲,et al.  Non-Rigid Image Registration Algorithm Based on B-Splines Approximation , 2007 .

[7]  Simon R. Arridge,et al.  A Nonrigid Registration Framework Using Spatially Encoded Mutual Information and Free-Form Deformations , 2011, IEEE Transactions on Medical Imaging.

[8]  Jürgen Weese,et al.  Landmark-based elastic registration using approximating thin-plate splines , 2001, IEEE Transactions on Medical Imaging.

[9]  Josien P. W. Pluim,et al.  Evaluation of Optimization Methods for Nonrigid Medical Image Registration Using Mutual Information and B-Splines , 2007, IEEE Transactions on Image Processing.

[10]  Christopher G. Harris,et al.  A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.

[11]  Luís Corte-Real,et al.  Automatic Image Registration Through Image Segmentation and SIFT , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[12]  Nikos Paragios,et al.  Deformable Medical Image Registration: A Survey , 2013, IEEE Transactions on Medical Imaging.