计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (21): 178-180.DOI: 10.3778/j.issn.1002-8331.2010.21.051

• 图形、图像、模式识别 • 上一篇    下一篇

Hermite算子在图像配准中的应用

张明慧,高园园,卢振泰,冯前进   

  1. 南方医科大学 生物医学工程学院,广州 510515
  • 收稿日期:2009-11-24 修回日期:2010-05-10 出版日期:2010-07-21 发布日期:2010-07-21
  • 通讯作者: 张明慧

Application of Hermite operator in image registration

ZHANG Ming-hui,GAO Yuan-yuan,LU Zhen-tai,FENG Qian-jin   

  1. School of Biomedical Engineering,Southern Medical University,Guangzhou 510515,China
  • Received:2009-11-24 Revised:2010-05-10 Online:2010-07-21 Published:2010-07-21
  • Contact: ZHANG Ming-hui

摘要: 基于Euler-Lagrange方程的医学图像弹性配准算法在临床中有着广泛的应用,它是医学图像处理的研究热点问题。传统算法采用差分近似计算图像的梯度误差较大,本文利用Hermite微分算子计算图像的梯度信息;并在迭代过程中对外力进行平滑约束。通过对模拟和真实数据的实验表明改进方法不仅具有较高的计算精度,而且具有很强的鲁棒性,适合于医学图像的弹性配准。

关键词: 弹性配准, Euler-Lagrange方程, 差分, Hermite微分算子

Abstract: In the field of medical image processing,elastic registration based on Euler-Lagrange has a wide range of application and is central to many challenges.Traditional algorithm has low accuracy,because it uses difference to calculate the image gradients.In this paper,the Hermite difference operator is used to calculate the image gradients.Smooth constraints to outside force are utilized in every iteration.The experiment proves that this method not only has a high accuracy,but also high robustness.

Key words: elastic registration, Euler-Lagrange equation, difference, Hermite derivative operator

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