Brown B H, Leathard A D, Lu L, Wang W, Hampshire A
Department of Medical Physics and Clinical Engineering, University of Sheffield, Royal Hallamshire Hospital, UK.
Physiol Meas. 1995 Aug;16(3 Suppl A):A57-67. doi: 10.1088/0967-3334/16/3a/006.
Electrical impedance tomographic spectroscopy (EITS) images have been recorded from a group of 12 normal subjects using frequencies from 9.6 kHz to 1.2 MHz. The impedance changes with frequency have been modelled on a pixel by pixel basis to produce parametric images as a means of characterizing tissue. The modelling was based on the Cole equation. The lungs are seen as areas of high characteristic frequency and low time constants SC and RS. The R/S images are much less uniform over the region of the lungs. Values characterizing the lung and cardiac regions are given. The results appear to be consistent with a model for the lungs whereby the model parameters can be related to alveolar structure and composition.
已使用9.6千赫兹至1.2兆赫兹的频率,从一组12名正常受试者身上记录了电阻抗断层扫描光谱(EITS)图像。已逐像素地对阻抗随频率的变化进行建模,以生成参数图像,作为表征组织的一种手段。该建模基于科尔方程。肺部被视为具有高特征频率以及低时间常数SC和RS的区域。在肺部区域,R/S图像的均匀性要差得多。给出了表征肺部和心脏区域的值。结果似乎与肺部模型一致,据此模型参数可与肺泡结构和组成相关。