计算机应用 ›› 2011, Vol. 31 ›› Issue (03): 733-735.DOI: 10.3724/SP.J.1087.2011.00733

• 图形图像技术 • 上一篇    下一篇

互信息驱动的有限元医学图像配准方法

党建武1,孙滕1,王阳萍1,李莎2,杜晓刚1   

  1. 1. 兰州交通大学 电子与信息工程学院,兰州730070
    2. 兰州军区总院 放疗科,兰州730050
  • 收稿日期:2010-09-08 修回日期:2010-11-03 发布日期:2011-03-03 出版日期:2011-03-01
  • 通讯作者: 孙滕
  • 作者简介:党建武(1963-),男,陕西富平人,教授,博士,主要研究方向:交通智能信息处理、神经网络;孙滕(1984-),男,山东滕州人,硕士研究生,主要研究方向:医学图像配准与融合;王阳萍(1973-),女,四川达州人,副教授,博士,主要研究方向:医学图像处理。
  • 基金资助:
    国家自然科学基金资助项目(10571126);国家自然科学基金资助项目(60962004);甘肃省科技攻关计划项目(0708GKCA047);甘肃省自然科学基金资助项目(0803RJZA015)

Finite element approach driven by mutual information for medical image registration

DANG Jian-wu1,SUN Teng1,WANG Yang-ping1,LI Sha2,DU Xiao-gang1   

  1. 1. School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou Gansu 730070, China
    2. Department of Radiotherapy, General Hospital of Lanzhou Military Area, Lanzhou Gansu 730050, China
  • Received:2010-09-08 Revised:2010-11-03 Online:2011-03-03 Published:2011-03-01
  • Contact: SUN Teng

摘要: 针对医学图像中软组织形变复杂多样的特点,在配准过程中以离散化的有限单元为基本单位模拟和预测整个弹性体产生的形变,将配准过程视为有限元求解二维平面应力问题并对有限元能量函数进行改进,选取高精度和鲁棒性良好的互信息(MI)为测度应用到方程求解中。为提高算法效率,在配准过程中采用多分辨率策略进行优化。通过对放疗中医学图像进行配准实验并与已有方法进行比较,得到的配准结果更优,对刚体位移更敏感并提高了速度,表明该方法是一种具有高精度和高效率的配准方法。

关键词: 有限元, 互信息, 多分辨率

Abstract: Discrete finite element was used as basic unit to simulate and predict deformation of the whole elastomer for complexity of soft tissue deformation in medical image. The process of registration was regarded as solving 2D stress problem by finite element method. The finite element energy function was also improved. Mutual Information (MI) with high accuracy and robustness was selected as metric for solving equation. In order to improve registration efficiency, registration process was optimized by the multi-resolution strategy. By registration experiment for medical images in radiotherapy and comparison with the existing methods, better registration results were obtained. The proposed registration method is more sensitive to the rigid displacement and with improvement in speed. All that shows this registration method is of high precision and efficiency.

Key words: finite element, Mutual Information (MI), multi-resolution

中图分类号: