TY - JOUR
T1 - Non-rigid registration of medical image using α B-spline transformation
AU - Tang, Songyuan
AU - Wang, Jianzhe
AU - Jiang, Tianzi
PY - 2003
Y1 - 2003
N2 - A new nonrigid registration method has been developed in this paper. In the proposed algorithm, we use αB-Spline transformation based on free-form deformation model to register images. The αB-Spline not only possesses many desirable geometrical and computational properties as B-spline, but also enhances the shape-control capability. It uses the linear singular blending technique, which is derived from the blending parameters defined at the B-spline control vertices. The volume can be transformed by changing the positions of control vertices and the value of blending parameters. We first use affine transformation to coarsely match two images, then warp the image by altering the positions of the control points, at last, adjust the values of blending parameters to change the image finely. We combine the SSD similarity measure with the regularization of Laplacian model as the cost function. Compared with that of the affine and B-sphne transformation, the result of the proposed method is better.
AB - A new nonrigid registration method has been developed in this paper. In the proposed algorithm, we use αB-Spline transformation based on free-form deformation model to register images. The αB-Spline not only possesses many desirable geometrical and computational properties as B-spline, but also enhances the shape-control capability. It uses the linear singular blending technique, which is derived from the blending parameters defined at the B-spline control vertices. The volume can be transformed by changing the positions of control vertices and the value of blending parameters. We first use affine transformation to coarsely match two images, then warp the image by altering the positions of the control points, at last, adjust the values of blending parameters to change the image finely. We combine the SSD similarity measure with the regularization of Laplacian model as the cost function. Compared with that of the affine and B-sphne transformation, the result of the proposed method is better.
KW - Free-form deformation
KW - Nonlinear registration
KW - α B-Spline
UR - http://www.scopus.com/inward/record.url?scp=0042375754&partnerID=8YFLogxK
U2 - 10.1117/12.480420
DO - 10.1117/12.480420
M3 - Conference article
AN - SCOPUS:0042375754
SN - 0277-786X
VL - 5032 II
SP - 1064
EP - 1071
JO - Proceedings of SPIE - The International Society for Optical Engineering
JF - Proceedings of SPIE - The International Society for Optical Engineering
T2 - Medical Imaging 2003: Image Processing
Y2 - 17 February 2003 through 20 February 2003
ER -