Electrical impedance tomography (EIT) has been widely used in biomedical research
because of its advantages of real-time imaging and nature of being non-invasive and …

Electrical impedance tomography (EIT) has been used by researchers across several areas
because of its low-cost and no-radiation properties. Researchers use complex conductivity …

Multifrequency electrical impedance tomography (mfEIT) is an emerging biomedical imaging
modality that exploits frequency-dependent electrical properties. The mfEIT image …

The time-difference image reconstruction problem of electrical impedance tomography (EIT)
refers to reconstructing the conductivity change in a human body part between two time …

Electrical Impedance Tomography (EIT) is a powerful imaging technique with diverse
applications, eg, medical diagnosis, industrial monitoring, and environmental studies. The …

Electrical impedance tomography (EIT) is low-cost and noninvasive and has the potential for
real-time imaging and bedside monitoring of brain injury. However, brain injury monitoring …

The sparse prior has been widely adopted to establish data models for numerous
applications. In this context, most of them are based on one of three foundational paradigms …

Recently, the application of deep learning techniques has provided significant advances in
solving nonlinear electrical impedance tomography (EIT) problems. However, when state-of …

In clinical optical molecular imaging, the need for real-time high frame rates and low
excitation doses to ensure patient safety inherently increases susceptibility to detection …

Electrical impedance tomography (EIT) is a promising imaging technique that recovers the
conductivity distribution inside a domain from noninvasive electrical measurements on the …