JOURNAL ARTICLE

Non-rigid registration of medical image using a B-spline transformation

Songyuan TangJianzhe WangTianzi Jiang

Year: 2003 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 5032 Pages: 1064-1064   Publisher: SPIE

Abstract

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-spline transformation, the result of the proposed method is better.

Keywords:
Image registration Spline (mechanical) Computer vision Artificial intelligence Computer science Transformation (genetics) Rigid transformation B-spline Thin plate spline Computer graphics (images) Image (mathematics) Mathematics Engineering Spline interpolation Mathematical analysis

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Topics

Advanced Numerical Analysis Techniques
Physical Sciences →  Engineering →  Computational Mechanics
Medical Image Segmentation Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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