Phase-based multidimensional volume registration

We present a method for accurate image registration and motion compensation in multidimensional signals, such as two-dimensional (2-D) X-ray images and three-dimensional (3-D) computed tomography/magnetic resonance imaging volumes. The method is based on phase from quadrature filters, which makes it robust to noise and temporal intensity variations. The method is equally applicable to signals of two, three or higher number of dimensions. We use parametric models, e.g., affine models, finite elements or local affine models with global regularization. Experimental results show high accuracy for 2-D and 3-D motion compensation.

[1]  Carl-Fredrik Westin,et al.  Normalized Convolution : Technique for Filtering Incomplete and Uncertain Data , 1993 .

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

[3]  H. Knutsson,et al.  Sequential Filter Trees for Efficient 2D 3D and 4D Orientation Estimation , 1998 .

[4]  Berthold K. P. Horn,et al.  Determining Optical Flow , 1981, Other Conferences.

[5]  Mats Andersson,et al.  Optimization of Sequential Filters , 1995 .

[6]  David J. Fleet,et al.  Stability of phase information , 1991, Proceedings of the IEEE Workshop on Visual Motion.

[7]  Hans Knutsson,et al.  Motion-compensated digital subraction angiography , 1999, Medical Imaging.

[8]  Hans Knutsson,et al.  Phase-based image motion estimation and registration , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

[9]  Hans Knutsson,et al.  Signal processing for computer vision , 1994 .

[10]  Jürgen Weese,et al.  Weighted least squares for point-based registration in digital subtraction angiography (DSA) , 1999, Medical Imaging.

[11]  Carlo Tomasi,et al.  Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[12]  Carl-Johan Westelius,et al.  Focus of attention and gaze control for robot vision , 1995 .

[13]  M. Hemmendorff.  Motion estimation and compensation in medical imaging , 2001 .

[14]  B.L. Evans,et al.  Advanced filter design , 1997, Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136).

[15]  S. Heywang-Köbrunner,et al.  Contrast-Enhanced MRI of the Breast , 1991 .

[16]  Yudong Zhu,et al.  A spatiotemporal model of cyclic kinematics and its application to analyzing nonrigid motion with MR velocity images , 1999, IEEE Transactions on Medical Imaging.

[17]  David J. Fleet,et al.  Scale-Space Singularities , 1990, ECCV.

[18]  M. Hemmendorff.  Single and Multiple Motion Field Estimation , 1999 .