Design and Realization of Medical Image Nonrigid Matching Algorithm

Author

Cheng, Xian-yi ; Han, Lan-jun ; Ma, Shou-ming

Author_Institution

Sch. of Comput. Sci. & Commun. Eng., Jiangsu Univ., Zhenjiang

Volume

2

fYear

2006

Firstpage

497

Lastpage

501

Abstract

Although rigid matching methods are a good robust point matching (RPM), they can not meet clinic needs. Because that many deformations are non-rigid and nonlinear, so we need non-rigid registration. But at present feature-based non-rigid registration methods for frequently encounter the correspondence and robust problem (H. Chui and A. Rangarajan, 2003). In this paper, based on thin plate spline and matching matrix, a matching algorithm for non-rigid medical image is presented, this algorithm decomposes the parameters of thin plate spline (TPS) into affine part and non-affine part, and solves the matching matrix through iterative means. Comparing with the popular iterated closest point (ICP) algorithm and other non-rigid matching algorithms, the proposed algorithm can not only keep biunique constraints between image feature points, but also is more robust

Keywords

image matching; image registration; matrix algebra; medical image processing; splines (mathematics); iterated closest point; matching matrix; medical image nonrigid matching; nonrigid registration; robust point matching; thin plate spline; Algorithm design and analysis; Biomedical imaging; Image analysis; Image matching; Iterative algorithms; Iterative closest point algorithm; Matrix decomposition; Medical diagnostic imaging; Robustness; Spline; iterated closest point (ICP); matching matrix; non-rigid registration; robust point matching (RPM); thin plate spline(TPS);

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on

Print_ISBN

0-7695-2528-8

Type

conf

DOI

10.1109/ISDA.2006.253887

Filename

4021714