摘要
研究不同体位下人体呼吸过程的电阻抗图像重建和分析方法。采用最小二乘共轭梯度(CGLS)图像重建算法实现人体呼吸过程的实时图像重建,并对左侧卧、右侧卧、平躺、坐立及俯卧五种体位的重构图像进行对比,分析感兴趣区域(ROI)特征数据,探索不同体位对图像重建的影响。结果表明:体位变化对成像效果有明显影响,不同体位下,其呼吸过程的电阻抗成像(EIT)结果也不相同。平躺体位下的左、右肺可以同时获得通气量较大、数据波动性较小的EIT图像。
In this paper,the respiration courses of human at different postures are reconstructed by electrical impedance tomography(EIT).Conjugate gradient least squares(CGLS) algorithm is applied to reconstruct the resistivity distribution during respiration courses,and the EIT images taken from human at flat lying,left lying,right lying,sitting and prone postures are reconstructed and compared.The relative changes of the resistivity in region of interest(ROI) are analyzed to evidence the influences caused by different postures.Results show that the changes in postures are the most influential factors for the reconstructions,and the EIT images vary with the postures.In human at flat-lying posture,the left and right lungs have larger pulmonary ventilation volume simultaneously,and the EIT-measured data are of lower variability.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2010年第5期1004-1007,共4页
Journal of Biomedical Engineering
基金
天津市自然科学基金资助项目(08JCYBJC03500)
天津科技大学引进人才科研启动基金资助项目(20090411)
关键词
电阻抗成像
功能成像
呼吸过程
肺通气
Electrical impedance tomography(EIT); Functional imaging; Respiration; Lung ventilation;