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Benchmark computations for the polarization tensor characterization of small conducting objects (2022)
Journal Article
Amad, A., Ledger, P. D., Betcke, T., & Praetorius, D. (2022). Benchmark computations for the polarization tensor characterization of small conducting objects. Applied Mathematical Modelling, 111, 94-107. https://doi.org/10.1016/j.apm.2022.06.024

The characterisation of small low conducting inclusions in an otherwise uniform background from low-frequency electrical field measurements has important applications in medical imaging using electrical impedance tomography as well as in geological i... Read More about Benchmark computations for the polarization tensor characterization of small conducting objects.

Identification of metallic objects using spectral magnetic polarizability tensor signatures: Object classification (2022)
Journal Article
Wilson, B. A., Ledger, P. D., & Lionheart, W. R. B. (2022). Identification of metallic objects using spectral magnetic polarizability tensor signatures: Object classification. International Journal for Numerical Methods in Engineering, 123(9), 2076-2111. https://doi.org/10.1002/nme.6927

The early detection of terrorist threat objects, such as guns and knives, through improved metal detection, has the potential to reduce the number of attacks and improve public safety and security. To achieve this, there is considerable potential to... Read More about Identification of metallic objects using spectral magnetic polarizability tensor signatures: Object classification.

Measurement of GMPT Coefficients for Improved Object Characterisation in Metal Detection (2021)
Journal Article
Ledger. (2021). Measurement of GMPT Coefficients for Improved Object Characterisation in Metal Detection. IEEE Sensors Journal, 2430-2446. https://doi.org/10.1109/JSEN.2021.3133950

Magnetic polarizability tensors (MPTs) have become popular for characterising conducting permeable objects and assisting with the identification of hidden objects in metal detection for applications in security screening, humanitarian demining and sc... Read More about Measurement of GMPT Coefficients for Improved Object Characterisation in Metal Detection.

Identification of metallic objects using spectral MPT signatures: object characterisation and invariants (2021)
Journal Article
Ledger, P. D., Wilson, B. A., Amad, A. A. S., Amas, A., & Lionheart, W. R. B. (2021). Identification of metallic objects using spectral MPT signatures: object characterisation and invariants. International Journal for Numerical Methods in Engineering, 122(15), 3941-3984. https://doi.org/10.1002/nme.6688

The early detection of terrorist threat objects, such as guns and knives, through improved metal detection, has the potential to reduce the number of attacks and improve public safety and security. To achieve this, there is considerable potential to... Read More about Identification of metallic objects using spectral MPT signatures: object characterisation and invariants.

Efficient Computation of the Magnetic Polarizabiltiy Tensor Spectral Signature using POD (2020)
Journal Article
Wilson, B. A., & Ledger, P. D. (2021). Efficient Computation of the Magnetic Polarizabiltiy Tensor Spectral Signature using POD. International Journal for Numerical Methods in Engineering, 122(8), 1940-1963. https://doi.org/10.1002/nme.6606

The identification of hidden conducting permeable objects from measurements of the perturbed magnetic field taken over a range of low frequencies is important in metal detection. Applications include identifying threat items in security screening at... Read More about Efficient Computation of the Magnetic Polarizabiltiy Tensor Spectral Signature using POD.

A staggered high-dimensional Proper Generalised Decomposition for coupled magneto-mechanical problems with application to MRI scanners (2020)
Journal Article
Barroso, G., Seoane, M., Gil, A., Ledger, P., Mallett, M., & Huerta, A. (2020). A staggered high-dimensional Proper Generalised Decomposition for coupled magneto-mechanical problems with application to MRI scanners. Computer Methods in Applied Mechanics and Engineering, 370, 113271. https://doi.org/10.1016/j.cma.2020.113271

Manufacturing new Magnetic Resonance Imaging (MRI) scanners represents a computational challenge to industry, due to the large variability in material parameters and geometrical configurations that need to be tested during the early design phase. Thi... Read More about A staggered high-dimensional Proper Generalised Decomposition for coupled magneto-mechanical problems with application to MRI scanners.

A regularised-adaptive Proper Generalised Decomposition implementation for coupled magneto-mechanical problems with application to MRI scanners (2019)
Journal Article
Barroso, G., Gil, A. J., Ledger, P. D., Mallett, M., & Huerta, A. (2020). A regularised-adaptive Proper Generalised Decomposition implementation for coupled magneto-mechanical problems with application to MRI scanners. Computer Methods in Applied Mechanics and Engineering, 358, 112640. https://doi.org/10.1016/j.cma.2019.112640

Latest developments in high-strength Magnetic Resonance Imaging (MRI) scanners with in-built high resolution, have dramatically enhanced the ability of clinicians to diagnose tumours and rare illnesses. However, their high-strength transient magnetic... Read More about A regularised-adaptive Proper Generalised Decomposition implementation for coupled magneto-mechanical problems with application to MRI scanners.

The spectral properties of the magnetic polarizability tensor for metallic object characterisation (2019)
Journal Article
Ledger, P., & Lionheart, W. (2020). The spectral properties of the magnetic polarizability tensor for metallic object characterisation. Mathematical Methods in the Applied Sciences, 43(1), 78-113. https://doi.org/10.1002/mma.5830

The measurement of time-harmonic perturbed field data, at a range of frequencies, is beneficial for practical metal detection, where the goal is to locate and identify hidden targets. In particular, these benefits are realised when frequency-dependen... Read More about The spectral properties of the magnetic polarizability tensor for metallic object characterisation.

Accelerating magnetic induction tomography‐based imaging through heterogeneous parallel computing (2019)
Journal Article
Walker, D. W., Kramer, S. C., Biebl, F. R. A., Ledger, P. D., & Brown, M. (in press). Accelerating magnetic induction tomography‐based imaging through heterogeneous parallel computing. Concurrency and Computation: Practice and Experience, e5265. https://doi.org/10.1002/cpe.5265

Magnetic Induction Tomography (MIT) is a non-invasive imaging technique, which has applications in both industrial and clinical settings. In essence, it is capable of reconstructing the electromagnetic parameters of an object from measurements made o... Read More about Accelerating magnetic induction tomography‐based imaging through heterogeneous parallel computing.