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Journal of Information Science and Engineering, Vol. 27 No. 5, pp. 1761-1775 (September 2011)

Medical Image Registration Based on SVD and Modified PSNR*

MEI-SEN PAN1,2, JING-TIAN TANG1 AND XIAO-LI YANG1
1Institute of Biomedical Engineering
Central South University
Changsha, 410083 P.R. China
2College of Computer Science and Technology
Hunan University of Arts and Science
Changde, 415000 P.R. China

Medical image registration plays a crucial role in clinical diagnosis, treatment, quality assurance, evaluation of curative efficacy and so on. In this paper, by computing the medical image moments, the centroid is obtained, and according to the rotational invariance of the singular values of the matrix of the medical image coordinates, the rotation angles of the reference and floating images are computed respectively, on the foundation of which the initial values for registering the images are generated. When searching the optimal geometric transformation parameters, the modified peak signal-to-noise ratio (MPSNR) is selected as the similarity measure, and the simplex method as multi-parameter optimization. The experimental results show that, this proposed method has a fairly simple implementation, a low computational load, a fast registration and good registration accuracy. It also can effectively avoid trapping in the local optimum. Also, the improved iterative closest point algorithm is introduced. The results reveal that the measure deriving the initial values for registration from SVD is potent strategy.

Keywords: singular value decomposition, modified PSNR, medical image, image registration, pixel

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Received December 7, 2009; revised June 22 & November 24, 2010 & February 18, 2011; accepted February 22, 2011.
Communicated by Pau-Choo Chung.
* This paper was partially supported by the Foundation of 11th Five-Year Plan for Key Construction Academic Subject (Optics) of Hunan Province, PRC and supported by Outstanding Young Scientific Research Fund of Hunan Provincial Education Department, PRC (No. 09B071).