膀胱充盈的三维电阻抗成像算法

计算物理 ›› 2013, Vol. 30 ›› Issue (4): 559-564.

膀胱充盈的三维电阻抗成像算法

冉鹏, 何为, 徐征, 李冰

重庆大学电气工程学院输配电装备及系统安全与新技术国家重点实验室, 重庆 400030

收稿日期:2012-09-24 修回日期:2012-12-05 出版日期:2013-07-25 发布日期:2013-07-25
通讯作者: 何为,E-mail:hewei@cqu.edu.cn
作者简介:鹏(1981-),男,博士,主要从事电磁场仿真、数值计算及电磁成像研究,E-mail:P.ran@cqu.edu.cn
基金资助:
国家自然科学基金青年项目(51107150);重庆市自然科学基金(CSTC2009BB5204);中央高校基本科研业务经费(CDJZR10150021)资助项目

Three-dimensional Electrical Impedance Tomography for Bladder Filling Estimation

RAN Peng, HE Wei, XU Zheng, LI Bing

State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400030, China

Received:2012-09-24 Revised:2012-12-05 Online:2013-07-25 Published:2013-07-25

摘要/Abstract

摘要： 构建膀胱充盈估计的物理及数学三维电阻抗成像计算模型,利用混合正则化Combined Tikhonov重构算法加以验证,其结果有较高的空间分辨率,稳定性更高,抗噪性能增强.通过对结果的Laplacian函数分析,采用数学方法进行边界单元提取,处理,整合边界曲面片段等,从高噪声背景中提取对象的形态特征,最终实现三维图像重构.在二维成像的基础上,提供了目标空间位置、高度和空间对比度等信息,为定性分析提供重要依据.

关键词: 混合正则化, Laplacian函数, 边界提取, 三维电阻抗成像, 膀胱充盈估计

Abstract: Physics and mathematics model for three-dimensional bladder filling estimation are constructed for electrical impedance tomography.Verification was carried out with combined Tikhonov regularization algorithm.Reconstruction results with high spatial resolution,high stability and enhanced anti-noise performance were obtained.With Laplacian analysis of calculation results,boundary was extracted and processed.As a result,integration boundary surface fragments were extracted from high noise background in morphological characteristics of the object.Ultimately,three-dimensional image reconstruction was achieved.Compared with two-dimensional imaging,it provided spatial position,height and spatial contrast for qualitative analysis.

Key words: combined regularization, Laplacian function, boundary extraction, 3D electrical impedance tomography, bladder filling estimation

中图分类号:

TMl51.2

冉鹏, 何为, 徐征, 李冰. 膀胱充盈的三维电阻抗成像算法[J]. 计算物理, 2013, 30(4): 559-564.

RAN Peng, HE Wei, XU Zheng, LI Bing. Three-dimensional Electrical Impedance Tomography for Bladder Filling Estimation[J]. CHINESE JOURNAL OF COMPUTATIONAL PHYSICS, 2013, 30(4): 559-564.