
Electrical impedance tomography - Wikipedia
Electrical impedance tomography (EIT) is a noninvasive type of medical imaging in which the electrical conductivity, permittivity, and impedance of a part of the body is inferred from surface electrode measurements and used to form a tomographic image of that part.
A Conditional Diffusion Model for Electrical Impedance Tomography Image …
2024年12月22日 · In this research, a novel method based on the conditional diffusion model for EIT reconstruction is proposed, termed CDEIT. Specifically, CDEIT consists of the forward diffusion process, which first gradually adds Gaussian noise to the clean conductivity images, and a reverse denoising process, which learns to predict the original conductivity ...
Robust imaging using electrical impedance tomography: review of …
Electrical impedance tomography (EIT) is an innovative imaging tool widely employed among the scientific community over the last decades. EIT requires compact and inexpensive equipment compared with other imaging modalities such as Magnetic Resonance Imaging or Computerized Tomography scan, and is found to be safe for the patient.
Electrical Impedance Tomography Image Reconstruction With …
Abstract: Electrical impedance tomography (EIT) is a promising functional and structural imaging method in process tomography. However, due to the “soft-field” nature and the high dependence on the prior information, it often suffers serious artifacts in quantitative analysis.
Image Reconstruction in Electrical Impedance Tomography …
2018年3月29日 · In this paper, we propose an efficient and high-resolution EIT image reconstruction method in the framework of sparse Bayesian learning. Significant performance improvement is achieved by imposing structure-aware priors on the learning process to incorporate the prior knowledge that practical conductivity distribution maps exhibit clustered ...
Image reconstruction method for electrical impedance …
2023年9月1日 · In order to reconstruct the high-quality EIT image, we propose an EIT image reconstruction method based on RBF and CBAM-UNet in this paper. This method can be accomplished in two steps: from data to image and from image to image. The implementation process is demonstrated in Fig. 3.
Multi-Modal EIT Image Reconstruction Using Deep Similarity Prior
This paper presents a novel multi-modal EIT image reconstruction algorithm that leverages neural network regularization to address this limitation. We first design a self-supervised Siamese network consisting of a dual Structure Encoding Network (abbreviated as …
Advances of deep learning in electrical impedance tomography image …
2022年12月13日 · Electrical impedance tomography (EIT) is a non-invasive imaging method for reconstructing the distribution or changes in electrical properties by applying a safe alternating current excitation, measuring the surface voltage signal, and using a reconstruction algorithm.
Electrical impedance tomography in neonates: a review
2025年2月22日 · Electrical impedance tomography (EIT) is one such tool, with immense potential for real-time pulmonary function monitoring in neonates. Still relatively new and...
Super-resolution reconstruction of electrical impedance tomography images
2018年7月1日 · Electrical Impedance Tomography (EIT) is an imaging method that leads to low cost, highly portable, real-time and radiation-free imaging devices. These characteristics make it suitable for bedside diagnosis and intraoperative imaging.
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