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
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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
Zhang, Boahua
中科院分区:
物理与天体物理3区
文献类型:
--
作者:
Lu, Xiaoqi;Ma, Hongli;Zhang, Boahua

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非刚性医学图像配准是医学图像处理的一个重要研究课题,是医学图像融合的基础。相对于刚性图像,非刚性图像的变形更为严重和复杂。针对医学图像非刚性变形的特点,提出了一种自适应非刚性医学图像配准算法。该方法首先基于全局配准,然后提取全局配准图像和参考图像的特征点,并根据提取的特征点生成不规则三角网格。最后,使用最小势能作为相似度量,实现局部精确图像配准。实验结果表明,相对于传统的非刚性配准算法,该算法在保证配准精度的同时,增强了配准算法的鲁棒性和抗噪性。
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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影响因子: --
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