지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2005.11
- 수록면
- 1,116 - 1,124 (9page)
이용수
초록· 키워드
오류제보하기
We investigated the mean and variance of the MSE and the MI-based image registration methods that have been widely applied for image registration. By using the first order Taylor series expansion, we have approximated the mean and the variance for one-dimensional image registration. The asymptotic results show that the MSE based method is unbiased and efficient for the same image registration problem while the MI-based method shows larger variance. However, for the different modality image registration problem, the MSE based method is largely biased while the MI based method still achieves registration. The results imply that the MI based method achieves robustness to the different image modalities at the cost of inefficiency. The analytical results are supported by simulation results.
목차
ABSTRACT
Ⅰ. Introduction
Ⅱ. Theory
Ⅲ. Mean and Variance Approximation
Ⅳ. Simulation Results
Ⅴ. Discussion
Ⅵ. Conclusion
참고문헌
저자소개
참고문헌 (14)
참고문헌 신청
J A Fessler, “Mean and variance of implicitly defined estimators (such as penalized maximum likelihood): Applications to tomography,” IEEE Tr. Im. Proc., vol.5, no.3, pp403-506, Mar.1996.
L. Dong and A L boyer, “An image correlation procedure for digitally reconstructed radiographs and electronic portal images,” Int. J. Tadiation Oncology Biol. Phys., vol. 33, no. 5, pp. 1053-1060, 1995.
W M Wells, P Viola, H Atsumi, S Nakajima, and R Kikinis, “Multi-modal volume registration by maximization of mutual information,” Med. Im. Anal., vol. 1, no.1, pp. 35-51, Mar. 1996.
F Maes, A Collignon, D Vandermulen, and P Sutens, “Multimodality image registration by maximization of mutual information,” IEEE Tr. Med. Im., vol. 16, no.2, pp. 187-98, Apr., 1997.
C R Meyer, J L Bose, B Kim, P H Bland et al., “Demonstration of accuracy and clinical versatility of mutual information for automatic multimodality image fusion using affine and thin plate spline warped geometric deformations,” Med. Im. Anal., vol. 1no.3,
L. Dong and A L boyer, “An image correlation procedure for digitally reconstructed radiographs and electronic portal images,” Int. J. Tadiation Oncology Biol. Phys., vol. 33, no. 5, pp. 1053-1060, 1995.
W M Wells, P Viola, H Atsumi, S Nakajima, and R Kikinis, “Multi-modal volume registration by maximization of mutual information,” Med. Im. Anal., vol. 1, no.1, pp. 35-51, Mar. 1996.
F Maes, A Collignon, D Vandermulen, and P Sutens, “Multimodality image registration by maximization of mutual information,” IEEE Tr. Med. Im., vol. 16, no.2, pp. 187-98, Apr., 1997.
C R Meyer, J L Bose, B Kim, P H Bland et al., “Demonstration of accuracy and clinical versatility of mutual information for automatic multimodality image fusion using affine and thin plate spline warped geometric deformations,” Med. Im. Anal., vol. 1no.3,
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UCI(KEPA) : I410-ECN-0101-2009-567-015116704