A Lagrange-Newton Method for EIT/UT Dual-Modality Image Reconstruction

Liang, Guanghui; Ren, Shangjie; Zhao, Shihua; Dong, Feng

doi:10.3390/s19091966

Cited by 28 publications

(14 citation statements)

References 45 publications

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“…The voltage measurement details can be extracted from the demodulator section, which remains as the most essential part of the device. The signal conditioner circuit is used for many purposes such as noise filtering and signal converting processes [9]. Finally, it is responsible for interfacing a computer.…”

Section: Figure 1 Block Diagram Of Eit System Work Flowmentioning

confidence: 99%

Survey on Medical Imaging of Electrical Impedance Tomography (EIT) by Variable Current Pattern Methods

Adam¹,

Sathesh²

2021

JISMAC

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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 of reconstruction algorithms of EIT in medical imaging applications. Besides, it reviews many methods involved in constructing the electrical impedance tomography. The spatial distribution and resolution with different sensitivity has been discussed here. The electrode arrangement of various methods involved in the EIT system is discussed here. This research article comprises of adjacent drive method, cross method, and alternative opposite current direction method based on the voltage driven pattern. The assessment process of biomedical EIT has been discussed and investigated through the impedance imaging of the existent substances. The locality of the electrodes can be calculated and fixed for appropriate methods. More specifically, this research article discusses about the EIT image reconstruction methods and the significance of the alternative opposite current direction approach in the biomedical system. The change in conductivity test is further investigated based on the injection of current flow in the system. It has been established by the use of Electrical Impedance Tomography and Diffuse Optical Tomography Reconstruction Software (EDITORS) software, which is open-source software.

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Section: Figure 1 Block Diagram Of Eit System Work Flowmentioning

confidence: 99%

Survey on Medical Imaging of Electrical Impedance Tomography (EIT) by Variable Current Pattern Methods

Adam¹,

Sathesh²

2021

JISMAC

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“…Some interesting techniques are Ultrasound Tomography (UT), and Optical Coherence Tomography (OCT). In fact, UT technique, sensitive to variations in the acoustic impedance of objects, has been used for the detection of the multi-phase flow [9]- [11]. In [12], the principle and technical realization of OCT technique are explained.…”

Section: Introductionmentioning

confidence: 99%

Efficient Image Reconstruction Algorithm for ECT System Using Local Ensemble Transform Kalman Filter

Deabes

Bouazza

2021

IEEE Access

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One of the vital processes that should be monitored and analyzed continuously in the oilgas and petroleum-related industries is the multi-phase flow inside pipes. Multi-phase flow means flowing two or more phases of gas, liquid, or solid inside a pipe. Electrical Capacitance Tomography (ECT) is a feasible and economical solution for monitoring dynamic applications. The ECT system offers the benefits of no radiation, non-intrusive, and non-invasive. Despite its potential, ECT systems deployment's major limitation is the crucial need to develop rapid image reconstruction algorithms. In this paper, a Local Ensemble Transform Kalman Filter (LETKF) is developed as a non-linear system estimator for reconstructing images in the ECT system. This method manages each node of the model independently by assimilating only the observations at a predefined distance. The localized approach of the LETKF gives it high computational efficiency allowing it to be applied to large dynamic systems. A quantitative analysis using Image Error (IE) and Coefficient Correlation (CC) measures has been applied to prove the effectiveness of the proposed algorithm. Indeed, the IE has been significantly decreased (around 62%), and the CC greatly increased (around 58%). Then, the influence of the noise was discussed. The results are promising and prove the algorithm feasibility.INDEX TERMS ECT, image reconstruction, Kalman filter, multi-phase flow.

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“…Li et al developed a CT image guided method for EIT inversion, and the proposed algorithm showed the advantage of improved ability of shape preservation [23]. Another representative work is related to EIT and ultrasound tomography (UT) joint imaging which is based on the complementary sensitive areas of these two modalities [24,25]. Reconstructed images based on EIT and UT also presented a better image quality compared with those based on singlemodal EIT.…”

mentioning

confidence: 99%

Image Reconstruction of Electrical Impedance Tomography Based on Optical Image-Guided Group Sparsity

Liu

Yang

2021

IEEE Sensors J.

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The low spatial resolution of Electrical Impedance Tomography (EIT) makes it challenging to conduct quantitative analysis of the electrical properties of imaging targets in biomedical applications. We in this paper propose to integrate optical imaging into EIT to improve EIT image quality and report a dual-modal image reconstruction algorithm based on optical image-guided group sparsity (IGGS). IGGS receives an RGB microscopic image and EIT measurements as inputs, extracts the structural features of conductivity distribution from optical images and fuses the information from the two imaging modalities to generate a high-quality conductivity image. The superior performance of IGGS is verified by numerical simulation and real-world experiments. Compared with selected single-modal EIT image reconstruction algorithms, i.e. the classical Tikhonov regularization and the state-of-the-art Structure-Aware Sparse Bayesian Learning and Enhanced Adaptive Group Sparsity with Total Variation, the proposed method presents superiorities in terms of shape preservation, background noise suppression, and differentiation of conductivity contrasts.

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A Lagrange-Newton Method for EIT/UT Dual-Modality Image Reconstruction

Cited by 28 publications

References 45 publications

Survey on Medical Imaging of Electrical Impedance Tomography (EIT) by Variable Current Pattern Methods

Survey on Medical Imaging of Electrical Impedance Tomography (EIT) by Variable Current Pattern Methods

Efficient Image Reconstruction Algorithm for ECT System Using Local Ensemble Transform Kalman Filter

Image Reconstruction of Electrical Impedance Tomography Based on Optical Image-Guided Group Sparsity

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