Electrical-impedance-tomography imaging based on a new three-dimensional thorax model for assessing the extent of lung injury

Li, Xiuyan; Chen, Xiaojing; Wang, Qi; Wang, Jianming; Duan, Xiaojie; Sun, Yukuan; Wang, Huaxiang

doi:10.1063/1.5124353

Cited by 14 publications

(4 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The rat received 100% oxygen, and the respiratory rate is maintained at 80 breaths per minute [34,35]. Experiments are performed on SD rats using the TGU-EIT system (Figure 13) [36]. The electrodes are 10 mm patch electrodes.…”

Section: Anesthesia and Instrumentationmentioning

confidence: 99%

3-D Electrical Impedance Imaging of Lung Injury

Ma,

Hao,

Wang

et al. 2023

PIER B

View full text Add to dashboard Cite

Pulmonary edema assessment is a key factor in monitoring and guiding the treatment of critically ill patients. To date, the methods available at the bedside to estimate the physiological correlation of pulmonary edema and extravascular pulmonary fluid are often unreliable or require invasive measurements. The aim of this article is to develop an imaging method of reliably assessing pulmonary edema by utilizing functional electrical impedance tomography. In this article, the Split-Bregman algorithm is used to solve the Total Variation (TV) minimization problem in EIT image reconstruction. A thorax model is constructed according to CT images of rats. Through simulation and experiment, the proposed method improves the quality of reconstructed image significantly compared with existing methods. A pulmonary edema experiment in rats is also carried out. The development of pulmonary edema is analyzed numerically through EIT images.

show abstract

Section: Anesthesia and Instrumentationmentioning

confidence: 99%

3-D Electrical Impedance Imaging of Lung Injury

Ma,

Hao,

Wang

et al. 2023

PIER B

View full text Add to dashboard Cite

show abstract

“…However, most of the applications and researches for lung EIT only focus on the estimation of the lung volume, i.e. ventilation and perfusion based on reconstructed images [27]- [30]. The intrathoracic organ motion, which is an essential parameter based on dynamic EIT reconstruction hasn't been considered before.…”

Section: Take Down Policymentioning

confidence: 99%

Exploring Respiratory Motion Tracking Through Electrical Impedance Tomography

Wang

et al. 2021

IEEE Trans. Instrum. Meas.

Self Cite

View full text Add to dashboard Cite

Motion tracking is an effective approach for the management of respiratory motion during the medical imaging process, which has always been a major concern in diagnostic imaging, interventional, and non-invasive therapy. However, the low imaging speed of traditional medical imaging techniques limits the practical application of real-time motion tracking. Electrical impedance tomography (EIT) is proved to be an effective tool for continuous monitoring of lung activity/status. However, the respiratory motion has never been studied in the medical EIT field before. In this paper, preliminary research of lung movement during the respiratory process is first studied based on EIT. Multi-ring electrode thorax models under different respiratory statuses were constructed to obtain simulation data of EIT. A modified TV algorithm is used for the estimation of lung volume and movement based on 3D EIT images, which improve the quality of reconstruction by approximately 30% and 20% compared with the traditional Tikhonov method and the total variation (TV) method, respectively. Both simulations and experiments were conducted to show the potential of respiratory motion tracking through 3D EIT reconstruction.

show abstract

“…2. This leads to the improved spatial resolution on the z-axis and reduces the influence of off-plane objects [18].…”

Section: Simulation Of Three-dimensional Chest Contour Modelmentioning

confidence: 99%

Research on Three-Dimensional Imaging Method Using Tensor for Electrical Impedance Tomography (Eit)

Wang¹,

Lei²,

Li³

et al. 2021

PIER C

Self Cite

View full text Add to dashboard Cite

Electrical impedance tomography (EIT) is a technique for reconstructing the conductivity distribution by injecting currents at the boundary of a subject and measuring the resulting changes in voltage. Many algorithms have been proposed for two-dimensional EIT reconstruction. However, since the human thorax has the characteristic of three-dimensions, EIT is a truly three-dimensional imaging problem. In this paper, we propose a three-dimensional imaging method using tensors for EIT. A tensor EIT model is established by EIT data, and the tucker decomposition is used to obtain the tensor basis. The tensor basis can form a new way to reconstruct image in three-dimensional space. Experiment results reveal that the data structural information of image can be fully used by the tensor method. A comparison of the peak signal to noise ratio (PSNR) shows that the newly proposed method performs better than other methods, i.e., the Dynamic Group Sparse TV algorithm and Tikhonov algorithm. The newly proposed method is closer to the ground truth, thus it can more accurately reflect the state of a lung than two-dimensional EIT. Finally, the EIT experiment is carried out to evaluate the proposed method. The experimental results show that the accuracy of reconstruction based on the new method is efficiently improved.

show abstract

Electrical-impedance-tomography imaging based on a new three-dimensional thorax model for assessing the extent of lung injury

Cited by 14 publications

References 24 publications

3-D Electrical Impedance Imaging of Lung Injury

3-D Electrical Impedance Imaging of Lung Injury

Exploring Respiratory Motion Tracking Through Electrical Impedance Tomography

Research on Three-Dimensional Imaging Method Using Tensor for Electrical Impedance Tomography (Eit)

Contact Info

Product

Resources

About