[1] Chen Xiaoyan, Gu Jia, Li Songyi, Shu Huazhong, et al. A method based on mutual information andgradient information for medical image registration [J]. Journal of Southeast University (English Edition), 2003, 19 (1): 35-39. [doi:10.3969/j.issn.1003-7985.2003.01.009]

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A method based on mutual information andgradient information for medical image registration()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

19

Issue:

2003 1

Page:

35-39

Research Field:

Biological Science and Medical Engineering

Publishing date:

2003-03-30

Info

Title:

A method based on mutual information andgradient information for medical image registration

Author(s):

Chen Xiaoyan;  Gu Jia;  Li Songyi;  Shu Huazhong;  Luo Limin

Department of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China

Keywords:

medical image registration;  gradient information;  mutual information;  multi-modal images;  non-rigid deformation

PACS:

R445

DOI:

10.3969/j.issn.1003-7985.2003.01.009

Abstract:

Mutual information is widely used in medical image registration, because it does not require preprocessing the image. However, the local maximum problem in the registration is insurmountable. We combine mutual information and gradient information to solve this problem and apply it to the non-rigid deformation image registration. To improve the accuracy, we provide some implemental issues, for example, the Powell searching algorithm, gray interpolation and consideration of outlier points. The experimental results show the accuracy of the method and the feasibility in non-rigid medical image registration.

References:

[1] Frederik M, Andre C, Dirk V. Multi-modality image registration by maximization of mutual information [J]. IEEE Trans Med Imag, 1997, 16(2): 187-198.
[2] Luo Shuqian, Li Xiang. Multi-modality medical image registration based on maximization of mutual information[J]. Journal of Image and Graphics, 2000, 5(7):551-558.
[3] Chen Yu, Zhuang Tiange. Mutual information based on registration for 3-D non-rigid medical image[J]. Journal of Shanghai Jiaotong University, 1999, 33(9):1125-1127.(in Chinese)
[4] Pluim J P W, Maintz J B A, Viergever M A. Image registration by maximization of combined mutual information and gradient information[J]. IEEE Transactions on Medical Imaging, 2000, 19(8):809-814.
[5] Qin Binjie, Zhuang Tiange. Similarity measures in voxel intensity based 3-D multi-modal medical image registration[J]. Journal of Shanghai Jiaotong University, 2002, 36(7): 942-945.(in Chinese)
[6] Roche A, Pennec X, Malandain G, et al. Rigid registration of 3-D ultrasound with MR images: a new approach combining intensity and gradient information[J]. IEEE Transactions on Medical Imaging, 2001, 20(10):1038-1049.

Memo

Memo:

Biographies: Chen Xiaoyan(1977—), female, graduate; Shu Huazhong
(corresponding author), male, professor, shu.list@seu.edu.cn.

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