A shape-based quality evaluation and reconstruction method for electrical impedance tomography

Antink, Christoph Hoog; Pikkemaat, Robert; Malmivuo, Jaakko; Leonhardt, Steffen

doi:10.1088/0967-3334/36/6/1161

Cited by 8 publications

(5 citation statements)

References 27 publications

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“…The stability and low computational costs of linear reconstruction algorithms are reasons for their important role in clinical applications 30 . The presented DCT approach is based on the simple, but probably most often used 35 reconstruction method, which is the one-step Gauss-Newton solver.…”

Section: Discussionmentioning

confidence: 99%

“…absolute EIT imaging 23 , compensation of motion artifacts 24 , compensation for faulty electrodes 25 , 3D imaging 26 , methods considering temporal correlation to reduce image noise 27 or utilizing Kalman filter approaches to track fast changes in conductivity distribution 28 . Other algorithms are based on expert defined figures of merit 29 or on eigenimages from CT data as training sets 30 . Blurring of reconstructed images is prevented in approaches using the level set method 31 or Total Variation Regularization 32 .…”

Section: Methodsmentioning

confidence: 99%

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Structural-functional lung imaging using a combined CT-EIT and a Discrete Cosine Transformation reconstruction method

Schullcke

Gong

Krueger-Ziolek

et al. 2016

Sci Rep

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Lung EIT is a functional imaging method that utilizes electrical currents to reconstruct images of conductivity changes inside the thorax. This technique is radiation free and applicable at the bedside, but lacks of spatial resolution compared to morphological imaging methods such as X-ray computed tomography (CT). In this article we describe an approach for EIT image reconstruction using morphologic information obtained from other structural imaging modalities. This leads to recon- structed images of lung ventilation that can easily be superimposed with structural CT or MRI images, which facilitates image interpretation. The approach is based on a Discrete Cosine Transformation (DCT) of an image of the considered transversal thorax slice. The use of DCT enables reduction of the dimensionality of the reconstruction and ensures that only conductivity changes of the lungs are reconstructed and displayed. The DCT based approach is well suited to fuse morphological image information with functional lung imaging at low computational costs. Results on simulated data indicate that this approach preserves the morphological structures of the lungs and avoids blurring of the solution. Images from patient measurements reveal the capabilities of the method and demonstrate benefits in possible applications.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Structural-functional lung imaging using a combined CT-EIT and a Discrete Cosine Transformation reconstruction method

Schullcke

Gong

Krueger-Ziolek

et al. 2016

Sci Rep

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“…The figures of merit of the reconstructed image, which have been mentioned by several publications [10,19,26], were used for the evaluation. The following calculations are based on the definition of a lung region H lung derived from an EIT reconstruction H:…”

Section: Evaluation Of the Reconstructionmentioning

confidence: 99%

Effect of a Patient-Specific Structural Prior Mask on Electrical Impedance Tomography Image Reconstructions

Chen

Krueger-Ziolek

Battistel

et al. 2023

Sensors

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Electrical Impedance Tomography (EIT) is a low-cost imaging method which reconstructs two-dimensional cross-sectional images, visualising the impedance change within the thorax. However, the reconstruction of an EIT image is an ill-posed inverse problem. In addition, blurring, anatomical alignment, and reconstruction artefacts can hinder the interpretation of EIT images. In this contribution, we introduce a patient-specific structural prior mask into the EIT reconstruction process, with the aim of improving image interpretability. Such a prior mask ensures that only conductivity changes within the lung regions are reconstructed. To evaluate the influence of the introduced structural prior mask, we conducted numerical simulations with two scopes in terms of their different ventilation statuses and varying atelectasis scales. Quantitative analysis, including the reconstruction error and figures of merit, was applied in the evaluation procedure. The results show that the morphological structures of the lungs introduced by the mask are preserved in the EIT reconstructions and the reconstruction artefacts are decreased, reducing the reconstruction error by 25.9% and 17.7%, respectively, in the two EIT algorithms included in this contribution. The use of the structural prior mask conclusively improves the interpretability of the EIT images, which could facilitate better diagnosis and decision-making in clinical settings.

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“…A feasible approach for comparison is to use some shape indicators when the data misfit is at the same small level. The shape indicators widening (WD) and distortion (DT) were defined in previous EIT studies [53]. We revise the definitions of WD and DT in equations ( 32) and (33) so that the shape indicators are adequate for this study.…”

Section: B Quantitative Indicatorsmentioning

confidence: 99%

CT Image-Guided Electrical Impedance Tomography for Medical Imaging

Zhang

Liu

et al. 2020

IEEE Trans. Med. Imaging

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This study presents a computed tomography (CT) image-guided electrical impedance tomography (EIT) method for medical imaging. CT is a robust imaging modality for accurately reconstructing the density structure of the region being scanned. EIT can detect electrical impedance abnormalities to which CT scans may be insensitive, but the poor spatial resolution of EIT is a major concern for medical applications. A cross-gradient method has been introduced for oil and gas exploration to jointly invert multiple geophysical datasets associated with different medium properties in the same geological structure. In this study, we develop a CT image-guided EIT (CEIT) based on the cross-gradient method. We assume that both CT scanning and EIT imaging are conducted for the same medical target. A CT scan is first acquired to help solve the subsequent EIT imaging problem. During EIT imaging, we apply cross gradients between the CT image and the electrical conductivity distribution to iteratively constrain the conductivity inversion. The crossgradient based method allows the mutual structures of different physical models to be referenced without directly affecting the polarity and amplitude of each model during the inversion. We apply the CEIT method to both numerical simulations and phantom experiments. The effectiveness of CEIT is demonstrated in comparison with conventional EIT. The comparison shows that the CEIT method can significantly improve the quality of conductivity images.

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A shape-based quality evaluation and reconstruction method for electrical impedance tomography

Cited by 8 publications

References 27 publications

Structural-functional lung imaging using a combined CT-EIT and a Discrete Cosine Transformation reconstruction method

Structural-functional lung imaging using a combined CT-EIT and a Discrete Cosine Transformation reconstruction method

Effect of a Patient-Specific Structural Prior Mask on Electrical Impedance Tomography Image Reconstructions

CT Image-Guided Electrical Impedance Tomography for Medical Imaging

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