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.
Physics and mathematics model for three-dimensional tomography. Verification was carried out with combined Tikhonov bladder filling estimation are constructed for electrical impedance 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.
出处
《计算物理》
CSCD
北大核心
2013年第4期559-564,共6页
Chinese Journal of Computational Physics
基金
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
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
combined regularization
Laplacian function
boundary extraction
3D electrical impedance tomography
bladder filling estimation
