首页> 外文期刊>Acoustical science and technology >Simulation of the long wavelength sound-wave CT using prior information
【24h】

Simulation of the long wavelength sound-wave CT using prior information

机译:使用先验信息模拟长波声波CT

获取原文
           

摘要

References(14) Cited-By(1) A simulation study about the CT technique employing a stationary sound wave with long wavelength is presented. The CT is an inverse and nonlinear problem, so that an iterative approach is inevitable. That is, starting an assumed density distribution, the field calculation is repeatedly made until a true density distribution is achieved. An inhomogeneous domain is divided into subregions in which the density is assumed to be constant. The Finite Element Method is used for calculating the acoustic field under the given particle velocity driving source and the Newton-Raphson method is used to update the initial density distribution by minimizing the scalar error between computed and measured field values. To cope with the ill-condition which essentially exist in the inverse problem, three kinds of methods are used comparatively to solve this problem. For getting a more exact reconstruction, a new algorithm employing prior information is proposed. The simulation results show that the proposed algorithm can reconstruct satisfactorily the density distribution image of the model by the proper selection of driving position and its frequency.
机译:参考文献(14)Cyted-By(1)提出了一种使用长波长平稳声波的CT技术的仿真研究。 CT是一个逆非线性问题,因此采用迭代方法是不可避免的。即,开始假定的密度分布,重复进行场计算,直到获得真实的密度分布。不均匀域被划分为假定密度恒定的子区域。有限元法用于计算给定粒子速度驱动源下的声场,牛顿-拉夫森法用于通过最小化计算的和测量的场值之间的标量误差来更新初始密度分布。为了解决反问题中本质上存在的问题,比较地使用了三种方法来解决该问题。为了获得更精确的重建,提出了一种采用先验信息的新算法。仿真结果表明,所提出的算法可以通过驱动位置,它的频率的适当选择良好地重建模型的密度分布图像。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号