First-and second-hand exposure to smoke or air pollutants is the primary cause of chronic
obstructive pulmonary disease (COPD) pathogenesis, where genetic and age-related …

In recent years, electrical impedance tomography (EIT) has attracted intensive interests due
to its noninvasive, ionizing radiation-free, and low-cost advantages, which is promising for …

This paper proposes a new approach for solving ill-posed nonlinear inverse problems. For
ease of explanation of the proposed approach, we use the example of lung electrical …

Neural networks (NNs) have been widely applied in tomographic imaging through data-
driven training and image processing. One of the main challenges in using NNs in real …

Image reconstruction of Electrical Impedance Tomography (EIT) is a highly nonlinear ill-
posed inverse problem, which is sensitive to the measurement noise and model errors. An …

Recently, the image reconstruction study on EIT plays a vital role in the medical application
field for validation and calibration purpose. This research article analyzes the different types …

Multifrequency electrical impedance tomography (mfEIT) is an emerging biomedical imaging
modality to reveal frequency-dependent conductivity distributions in biomedical applications …

This paper presents an image reconstruction method based on parametric level set (PLS)
method using electrical impedance tomography. The conductivity to be reconstructed was …

With the emerging demands for clean energy and an economy with net-zero greenhouse
gas emissions, electrocatalysis areas have attracted tremendous interest in recent years …

Electrical impedance tomography (EIT) is an emerging imaging modality to monitor 3D cell
culture dynamics through reconstructing the electrical properties of cell clusters. Recently …