A Robust Inclusion Boundary Reconstructor for Electrical Impedance Tomography With Geometric Constraints

Ren, Shangjie; Wang, Yu; Liang, Guanghui; Dong, Feng

doi:10.1109/tim.2018.2853358

Cited by 55 publications

(22 citation statements)

References 32 publications

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“…Here s ∈ [0, 1] and α refers to x or y. It follows from (20) to (23) that the boundaries C j is identified with the vector γ of the shape coefficient, that is…”

Section: B Fourier Representationmentioning

confidence: 99%

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B-Spline-Based Sharp Feature Preserving Shape Reconstruction Approach for Electrical Impedance Tomography

Liu

Smyl

et al. 2019

IEEE Trans. Med. Imaging

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“…Here s ∈ [0, 1] and α refers to x or y. It follows from (20) to (23) that the boundaries C j is identified with the vector γ of the shape coefficient, that is…”

Section: B Fourier Representationmentioning

confidence: 99%

“…Such processes usually involve reformulating the problem of conductivity reconstruction as an inverse problem for a special geometrical representation of embedded objects. Among the approaches that have been applied are level sets [11]- [14], truncated Fourier series [15]- [18], shape perturbation method [19] and geometric constraint method [20], etc.…”

mentioning

confidence: 99%

B-Spline-Based Sharp Feature Preserving Shape Reconstruction Approach for Electrical Impedance Tomography

Liu

Smyl

et al. 2019

IEEE Trans. Med. Imaging

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“…Electrical impedance tomography (EIT) is a noninvasive measurement technique that reconstructs tissue images in vivo with the resistivity distribution of the human body . The essence of EIT is to inject the known current and measure the voltage value to reconstruct the impedance distribution according to a certain method . If the applicable object of EIT is changed from the human body to the sensitive material, the position of the resistance changes due to the external force is reconstructed .…”

Section: Introductionmentioning

confidence: 99%

Artificial Sensitive Skin for Robotics Based on Electrical Impedance Tomography

Wang

et al. 2020

Advanced Intelligent Systems

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Electrical impedance tomography (EIT) is a noninvasive measurement technique that estimates the internal resistivity distribution based on the boundary voltage–current data measured from the surface of the conductor. If a thin stretchable soft material with a certain piezoresistive property is used as the electrical conductor, EIT has the ability to reconstruct the position where the resistivity changes due to the inside pressure contact, so that a large‐scale artificial sensitive skin is provided for robotics. First, the different conduction principles and material types of artificial sensitive skins are discussed, which is next followed by the different driving modes and image reconstruction techniques. Then, details on how EIT is used for robotic skin applications are described. Finally, the development trends and future potentials of EIT‐based robotic skins are expounded.

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“…For the solution of EIT, the forward problem is to calculate the boundary voltages from a given conductivity distribution. The forward model is established in EIDORS [23] and solved by the BEM method [24,25]. For the uniform sensor, 16 × 6 mm wide electrodes are evenly placed at the range of [−10, 10] of x -axis and the region of imaging is set to be [−10, 10] of x -axis and [0, 10] of y -axis.…”

Section: Methodsmentioning

confidence: 99%

Focusing Sensor Design for Open Electrical Impedance Tomography Based on Shape Conformal Transformation

Wang

Ren

Dong

2019

Sensors

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Electrical Impedance Tomography (EIT) is a non-invasive detection method to image the conductivity changes inside an observation region by using the electrical measurements at the boundary of this region. In some applications of EIT, the observation domain is infinite and is only accessible from one side, which leads to the so-called open EIT (OEIT) problem. Compared with conventional EIT problems, the observation region in OEIT can only be measured from limited projection directions, which makes high resolution imaging much more challenging. To improve the imaging quality of OEIT, a focusing sensor design strategy is proposed based on shape conformal theory. The conformal bijection is used to map a standard EIT sensor defined at a unit circle to a focusing OEIT sensor defined at an upper half plane. A series of numerical and experimental testes are conducted. Compared with the traditional sensor structure, the proposed focusing sensor has higher spatial resolution at the near-electrode region and is good at distinguishing multi-inclusions which are close to each other.

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A Robust Inclusion Boundary Reconstructor for Electrical Impedance Tomography With Geometric Constraints

Cited by 55 publications

References 32 publications

B-Spline-Based Sharp Feature Preserving Shape Reconstruction Approach for Electrical Impedance Tomography

B-Spline-Based Sharp Feature Preserving Shape Reconstruction Approach for Electrical Impedance Tomography

Artificial Sensitive Skin for Robotics Based on Electrical Impedance Tomography

Focusing Sensor Design for Open Electrical Impedance Tomography Based on Shape Conformal Transformation

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