Absolute Reconstructions Using Rotational Electrical Impedance Tomography for Breast Cancer Imaging

Murphy, Ethan K.; Mahara, Aditya; Halter, Ryan J.

doi:10.1109/tmi.2016.2640944

Cited by 69 publications

(35 citation statements)

References 37 publications

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“…From these boundary voltage measurements, it is possible to estimate the internal conductivity distribution of the body. Medical applications include imaging of brain activity [1], monitoring of lung function [2]- [4], and detection of breast cancer [5] and thoracic vascular structures [6].…”

Section: Introductionmentioning

confidence: 99%

A Parametric Level Set-Based Approach to Difference Imaging in Electrical Impedance Tomography

Liu

Smyl

2019

IEEE Trans. Med. Imaging

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This paper presents a novel difference imaging approach based on the recently developed parametric level set (PLS) method for estimating the change in a target conductivity from electrical impedance tomography measurements. As in conventional difference imaging, the reconstruction of conductivity change is based on data sets measured from the surface of a body before and after the change. The key feature of the proposed approach is that the conductivity change to be reconstructed is assumed to be piecewise constant while the geometry of the anomaly is represented by a shape-based PLS function employing Gaussian radial basis functions (GRBF). The representation of the PLS function by using GRBF provides flexibility in describing a large class of shapes with fewer unknowns. This feature is advantageous, as it may significantly reduce the overall number of unknowns, improve the condition number of the inverse problem, and enhance the computational efficiency of the technique. To evaluate the proposed PLS-based difference imaging approach, results obtained via simulation, phantom study, and in vivo pig data are studied. We find that the proposed approach tolerates more modeling errors and leads to significant improvement in image quality compared with the conventional linear approach.

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Section: Introductionmentioning

confidence: 99%

A Parametric Level Set-Based Approach to Difference Imaging in Electrical Impedance Tomography

Liu

Smyl

2019

IEEE Trans. Med. Imaging

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“…It is common in biological applications of EIT to configure the drive and measurement electrodes on the same plane in a ring around the sample boundary, which is then expanded to 3D EIT by stacking several rings, or 2D imaging planes [8][9][10][11]. Where stacked rings are not practical, such as half ellipsoid on the head, drive and measurement pattern strategies are employed to target a region of interest [12][13][14][15][16] and maximise information produced [17].…”

Section: Introductionmentioning

confidence: 99%

Drive and measurement electrode patterns for electrode impedance tomography (EIT) imaging of neural activity in peripheral nerve

Hope¹,

Vanholsbeeck²,

McDaid³

2018

Biomed. Phys. Eng. Express

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Objective: To establish the performance of several drive and measurement patterns in EIT imaging of neural activity in peripheral nerve, which involves large impedance changes in the nerve's anisotropic length axis. Approach: Eight drive and measurement electrode patterns are compared using a finite element (FE) fourcylindrical shell model of a peripheral nerve and a 32 channel dual-ring nerve cuff. The central layer of the FE model contains impedance changes representative of neural activity of -0.30 in length axis and -8.8x10 -4 in the radial axis. Four of the electrode patterns generate longitudinal drive current, which runs parallel to the anisotropic axis, while the remaining four patterns generate transverse drive current, which runs perpendicular to the anisotropic axis.Main results: Transverse current patterns produce higher resolution than longitudinal current patterns but are also more susceptible to noise and errors, and exhibit poorer sensitivity to impedance changes in central sample locations. Three of the four longitudinal current patterns considered can reconstruct fascicle level impedance changes with up to 0.2 mV noise and error, which corresponds to between -5.5 and +0.18 dB of the normalised signal standard deviation. Reducing the spacing between the two electrode rings in all longitudinal current patterns reduced the signal to error ratio across all depth locations of the sample. Significance: Electrode patterns which target the large impedance change in the anisotropic length axis can provide improved robustness against noise and errors, which is a critical step towards real time EIT imaging of neural activity in peripheral nerve.

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“…In the biomedical field, EIT has been applied to the examination of chest [283], to manage patients with acute respiratory distress syndrome (ARDS) in the intensive care unit (ICU) by estimating regional lung ventilation at the bedside [284]. Other areas of application include stroke imaging [285], the characterization of brain tissues [26,286], the monitoring of regional cerebral edema during clinical dehydration treatment [287], the early warning of brain injury during aortic arch replacement operation [288], gesture recognition [289], cancer detection [290][291][292], pediatric intensive care [293], tissue engineering [294], thermal management of hyperthermia [295], or laparoscopic surgery [296]. Another application of EIT is the gating of positronemission tomography (PET) and single-photon emission computed tomography (SPECT) images.…”

Section: Electrical Impedance Tomographymentioning

confidence: 99%

Fundamentals, Recent Advances, and Future Challenges in Bioimpedance Devices for Healthcare Applications

2019

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This work develops a thorough review of bioimpedance systems for healthcare applications. The basis and fundamentals of bioimpedance measurements are described covering issues ranging from the hardware diagrams to the configurations and designs of the electrodes and from the mathematical models that describe the frequency behavior of the bioimpedance to the sources of noise and artifacts. Bioimpedance applications such as body composition assessment, impedance cardiography (ICG), transthoracic impedance pneumography, electrical impedance tomography (EIT), and skin conductance are described and analyzed. A breakdown of recent advances and future challenges of bioimpedance is also performed, addressing topics such as transducers for biosensors and Lab-on-Chip technology, measurements in implantable systems, characterization of new parameters and substances, and novel bioimpedance applications.

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Absolute Reconstructions Using Rotational Electrical Impedance Tomography for Breast Cancer Imaging

Cited by 69 publications

References 37 publications

A Parametric Level Set-Based Approach to Difference Imaging in Electrical Impedance Tomography

A Parametric Level Set-Based Approach to Difference Imaging in Electrical Impedance Tomography

Drive and measurement electrode patterns for electrode impedance tomography (EIT) imaging of neural activity in peripheral nerve

Fundamentals, Recent Advances, and Future Challenges in Bioimpedance Devices for Healthcare Applications

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