Optical breast shape capture and finite-element mesh generation for electrical impedance tomography

Forsyth, James; Borsic, Andrea; Halter, Ryan J.; Hartov, Alex; Paulsen, Keith D.

doi:10.1088/0967-3334/32/7/s05

Cited by 6 publications

(5 citation statements)

References 29 publications

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“…Four rings of 16 electrodes were then lightly pressed against the breast. It was very challenging to obtain accurate boundary information ([34]), which is needed for absolute imaging ([35]). To overcome this problem and to utilize the potential of rEIT, we envision a slight modification of the system in which the breast is compressed into a shallow tank with embedded electrodes.…”

Section: Discussionmentioning

confidence: 99%

Absolute Reconstructions Using Rotational Electrical Impedance Tomography for Breast Cancer Imaging

Murphy

Mahara

Halter

2017

IEEE Trans. Med. Imaging

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A rotational Electrical Impedance Tomography (rEIT) methodology is described and shown to produce spatially accurate absolute reconstructions with improved image contrast and an improved ability to distinguish closely spaced inclusions compared to traditional EIT on data recorded from cylindrical and breast-shaped tanks. Rotations of the tank without altering the interior conductivity distribution are used to produce the rEIT data. Quantitatively, rEIT was able to distinguish two inclusions that were 1.5 cm closer together than traditional EIT could achieve for inclusions placed 2 to 3 cm from the center for the cylindrical tank, and rEIT was able to distinguish two tumor-like inclusions where traditional EIT could not reliably do so.Mathematical analysis showed that rEIT improves the number of stable singular vectors by up to 4.2 and 4.7 times than that of traditional EIT for the cylindrical and breast-shaped tanks, respectively, which is an indication of improved resolution. Direct investigations into measurements revealed minimum rotation angles that should yield data uncorrupted by noise. Two inverse approaches (one that inverts then fuses the data (I/DF) and one that fuses the data then inverts (DF/I)) and two mesh modeling approaches were considered. It was found that DF/I produces far better results compared to I/DF and a rotated-mesh approach produces further improvements. The ability to obtain improved absolute reconstructions using rEIT on a practical clinical scenario (breast-shaped tank experiment) is an important step towards using rEIT to improve previous EIT results in medical applications.

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Section: Discussionmentioning

confidence: 99%

Absolute Reconstructions Using Rotational Electrical Impedance Tomography for Breast Cancer Imaging

Murphy

Mahara

Halter

2017

IEEE Trans. Med. Imaging

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“…For better model generation and validation of EIT using MRI, it is thus most attractive to perform simultaneous data acquisition. If EIT were to be routinely used as a bedside monitoring tool, optical tracking techniques could plausibly be used to inform electrode positions and an approximate boundary shape such as those by Forsyth et al (2011) in breast imaging. However, the strength of using MRI to inform the shape is that we can also assess the spatial resolution of EIT after post processing using, for example, mutual information as presented here.…”

Section: Discussionmentioning

confidence: 99%

Mutual information as a measure of image quality for 3D dynamic lung imaging with EIT

et al. 2014

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We report on a pilot study of dynamic lung electrical impedance tomography (EIT) at the University of Manchester. Low-noise EIT data at 100 frames per second (fps) were obtained from healthy male subjects during controlled breathing, followed by magnetic resonance imaging (MRI) subsequently used for spatial validation of the EIT reconstruction. The torso surface in the MR image and electrode positions obtained using MRI fiducial markers informed the construction of a 3D finite element model extruded along the caudal-distal axis of the subject. Small changes in the boundary that occur during respiration were accounted for by incorporating the sensitivity with respect to boundary shape into a robust temporal difference reconstruction algorithm. EIT and MRI images were co-registered using the open source medical imaging software, 3D Slicer. A quantitative comparison of quality of different EIT reconstructions was achieved through calculation of the mutual information with a lung-segmented MR image. EIT reconstructions using a linear shape correction algorithm reduced boundary image artefacts, yielding better contrast of the lungs, and had 10% greater mutual information compared with a standard linear EIT reconstruction.

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“…conditions (such as excitation current) are known, the spatial potential distribution can be calculated employing the finite element method and other methods [29].…”

Section: Eit Algorithmsmentioning

confidence: 99%

Advances in electrical impedance tomography-based brain imaging

Hou

Huang

et al. 2022

Military Med Res

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Novel advances in the field of brain imaging have enabled the unprecedented clinical application of various imaging modalities to facilitate disease diagnosis and treatment. Electrical impedance tomography (EIT) is a functional imaging technique that measures the transfer impedances between electrodes on the body surface to estimate the spatial distribution of electrical properties of tissues. EIT offers many advantages over other neuroimaging technologies, which has led to its potential clinical use. This qualitative review provides an overview of the basic principles, algorithms, and system composition of EIT. Recent advances in the field of EIT are discussed in the context of epilepsy, stroke, brain injuries and edema, and other brain diseases. Further, we summarize factors limiting the development of brain EIT and highlight prospects for the field. In epilepsy imaging, there have been advances in EIT imaging depth, from cortical to subcortical regions. In stroke research, a bedside EIT stroke monitoring system has been developed for clinical practice, and data support the role of EIT in multi-modal imaging for diagnosing stroke. Additionally, EIT has been applied to monitor the changes in brain water content associated with cerebral edema, enabling the early identification of brain edema and the evaluation of mannitol dehydration. However, anatomically realistic geometry, inhomogeneity, cranium completeness, anisotropy and skull type, etc., must be considered to improve the accuracy of EIT modeling. Thus, the further establishment of EIT as a mature and routine diagnostic technique will necessitate the accumulation of more supporting evidence.

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Optical breast shape capture and finite-element mesh generation for electrical impedance tomography

Cited by 6 publications

References 29 publications

Absolute Reconstructions Using Rotational Electrical Impedance Tomography for Breast Cancer Imaging

Absolute Reconstructions Using Rotational Electrical Impedance Tomography for Breast Cancer Imaging

Mutual information as a measure of image quality for 3D dynamic lung imaging with EIT

Advances in electrical impedance tomography-based brain imaging

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