Optimal distance of multi-plane sensor in three-dimensional electrical impedance tomography. (31st October 2017)
- Record Type:
- Journal Article
- Title:
- Optimal distance of multi-plane sensor in three-dimensional electrical impedance tomography. (31st October 2017)
- Main Title:
- Optimal distance of multi-plane sensor in three-dimensional electrical impedance tomography
- Authors:
- Hao, Zhenhua
Yue, Shihong
Sun, Benyuan
Wang, Huaxiang - Abstract:
- Abstract: Electrical impedance tomography (EIT) is a visual imaging technique for obtaining the conductivity and permittivity distributions in the domain of interest. As an advanced technique, EIT has the potential to be a valuable tool for continuously bedside monitoring of pulmonary function. The EIT applications in any three-dimensional (3 D) field are very limited to the 3 D effects, i.e. the distribution of electric field spreads far beyond the electrode plane. The 3 D effects can result in measurement errors and image distortion. An important way to overcome the 3 D effect is to use the multiple groups of sensors. The aim of this paper is to find the best space resolution of EIT image over various electrode planes and select an optimal plane spacing in a 3 D EIT sensor, and provide guidance for 3 D EIT electrodes placement in monitoring lung function. In simulation and experiment, several typical conductivity distribution models, such as one rod (central, midway and edge), two rods and three rods, are set at different plane spacings between the two electrode planes. A Tikhonov regularization algorithm is utilized for reconstructing the images; the relative error and the correlation coefficient are utilized for evaluating the image quality. Based on numerical simulation and experimental results, the image performance at different spacing conditions is evaluated. The results demonstrate that there exists an optimal plane spacing between the two electrode planes for 3 DAbstract: Electrical impedance tomography (EIT) is a visual imaging technique for obtaining the conductivity and permittivity distributions in the domain of interest. As an advanced technique, EIT has the potential to be a valuable tool for continuously bedside monitoring of pulmonary function. The EIT applications in any three-dimensional (3 D) field are very limited to the 3 D effects, i.e. the distribution of electric field spreads far beyond the electrode plane. The 3 D effects can result in measurement errors and image distortion. An important way to overcome the 3 D effect is to use the multiple groups of sensors. The aim of this paper is to find the best space resolution of EIT image over various electrode planes and select an optimal plane spacing in a 3 D EIT sensor, and provide guidance for 3 D EIT electrodes placement in monitoring lung function. In simulation and experiment, several typical conductivity distribution models, such as one rod (central, midway and edge), two rods and three rods, are set at different plane spacings between the two electrode planes. A Tikhonov regularization algorithm is utilized for reconstructing the images; the relative error and the correlation coefficient are utilized for evaluating the image quality. Based on numerical simulation and experimental results, the image performance at different spacing conditions is evaluated. The results demonstrate that there exists an optimal plane spacing between the two electrode planes for 3 D EIT sensor. And then the selection of the optimal plane spacing between the electrode planes is suggested for the electrodes placement of multi-plane EIT sensor. … (more)
- Is Part Of:
- Computer assisted surgery. Volume 22(2017)Supplement 1
- Journal:
- Computer assisted surgery
- Issue:
- Volume 22(2017)Supplement 1
- Issue Display:
- Volume 22, Issue 1 (2017#)
- Year:
- 2017#
- Volume:
- 22
- Issue:
- 1
- Issue Sort Value:
- NaN-0022-0001-0000
- Page Start:
- 326
- Page End:
- 338
- Publication Date:
- 2017-10-31
- Subjects:
- Electrical impedance tomography -- pulmonary function monitoring -- spacing optimization -- three-dimensional effects -- multi-plane sensor
Computer-assisted surgery -- Periodicals - Journal URLs:
- http://www.tandfonline.com/ ↗
- DOI:
- 10.1080/24699322.2017.1389412 ↗
- Languages:
- English
- ISSNs:
- 2469-9322
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 5370.xml