J4 ›› 2013, Vol. 40 ›› Issue (6): 125-131.doi: 10.3969/j.issn.1001-2400.2013.06.022

• 研究论文 • 上一篇    下一篇

一种颅脑MR影像的LBM三维非刚体配准方法

郑翔;同鸣;曹阳   

  1. (西安电子科技大学 电子工程学院,陕西 西安  710071)
  • 收稿日期:2013-03-27 出版日期:2013-12-20 发布日期:2014-01-10
  • 通讯作者: 郑翔
  • 作者简介:郑翔(1988-),男,西安电子科技大学硕士研究生,E-mail: zhx_xdu@163.com.
  • 基金资助:

    国家自然科学基金重点资助项目(61072110);陕西省自然科学基金资助项目(SJ08F15)

LBM craniocerebral MR 3D medical image non-rigid  registration method

ZHENG Xiang;TONG Ming;CAO Yang   

  1. (School of Electronic Engineering, Xidian Univ., Xi'an  710071, China)
  • Received:2013-03-27 Online:2013-12-20 Published:2014-01-10
  • Contact: ZHENG Xiang

摘要:

为了提高三维医学影像的配准性能,利用两幅影像的灰度差生成驱动体素点形变的外力,通过格子玻尔兹曼方法(LBM)模拟外力控制下的体素点形变轨迹,将三维医学影像配准过程转换为粘滞流体的流动过程,提出了一种颅脑核磁共振影像的LBM三维非刚体配准新方法.文中建立了三维处理的含外力项可压缩的LBM方程,并定义了边界条件和微分同胚条件.实验结果表明,所提方法比同类方法具有更好的性能.

关键词: 格子玻尔兹曼模型, 医学影像, 非刚体配准, 粘滞流体, 微分同胚

Abstract:

In order to improve the performance of the 3D medical image non-rigid registration method, a new LBM (Lattice Boltzmann Method) craniocerebral MR 3D medical image non-rigid registration method is proposed. The 3D medical image registration process is converted into the flow process of the viscous fluid, the deformation force driving pixels are generated by using two-image gray level difference, and the pixels deformation trajectories are simulated under the control of external force by use of the LBM equation. The LBM equation of the compressible viscous fluid with a control force is set up, meanwhile the boundary conditions and the differential homeomorphism conditions are defined. Experimental results show that this method has the better performance than the similar methods.

Key words: lattice Boltzmann method, medical image, non-rigid registration, viscous fluid, diffeomorphic

中图分类号: 

  • TP391