A non-rigid medical image registration method based on improved linear elastic model
A non-rigid medical image registration method based on improved linear elastic model
复制标题
基于改进线弹性模型的非刚性医学图像配准方法
DOI:
10.1016/j.ijleo.2012.03.061
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发表时间:
2012-10
期刊:
影响因子:
3.1
通讯作者:
Zhang, Boahua
中科院分区:
文献类型:
--
作者:
Lu, Xiaoqi;Ma, Hongli;Zhang, Boahua
Non-rigid medical image registration is an important research project of medical image processing; it is the basis of medical image fusion. Relative to rigid image, the deformation of non-rigid image is more serious and more complicated. According to the characteristics of non-rigid medical image deformation, this paper proposes an adaptive non-rigid medical image registration algorithm. Firstly, it is based on global registration; secondly, it is about extracting feature points of global registration image and the reference image, and then generating irregular triangle grid according to extracted feature points. Finally, local accurate image registration is achieved using the minimum potential energy as a similar measure. Experimental results show that relative to the traditional non-rigid registration algorithm, this algorithm not only ensures the registration accuracy but also enhances the robustness and anti-noise of registration algorithm.
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DOI:
10.1109/titb.2006.864476
发表时间:
2006-04
影响因子:
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作者:
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通讯作者:
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DOI:
10.1007/bf00977785
发表时间:
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期刊:
INTERNATIONAL JOURNAL OF COMPUTER & INFORMATION SCIENCES
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DOI:
10.1109/hpcc.2009.13
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2009-06
期刊:
2009 11th IEEE International Conference on High Performance Computing and Communications
影响因子:
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DOI:
10.1109/icpr.2008.4761734
发表时间:
2008-12
期刊:
2008 19th International Conference on Pattern Recognition
影响因子:
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Koichi Ito;T. Aoki;Eiko Kosuge;R. Kawamata;I. Kashima