Paper
2 February 2001 Image reconstruction for electromagnetic inductance tomography employing a parameterized finite-element-based forward model
Yasdeo Bissessur, A. J. Peyton
Author Affiliations +
Proceedings Volume 4188, Process Imaging for Automatic Control; (2001) https://doi.org/10.1117/12.417173
Event: Intelligent Systems and Smart Manufacturing, 2000, Boston, MA, United States
Abstract
This paper describes a new method for quantitative image reconstruction with electromagnetic inductance tomography (EMT) using a parameterised finite-element (FE) based model to solve the forward problem. The algorithm has been applied to a 2D planar array to locate the position and size of circular steel bars. A commercial FE solver is used within the algorithm as a convenient and practical means of modelling the response of the sensor. The paper presents results from a number of object distributions and concludes with some suggestions on how this approach could be generalised to address a variety of EMT reconstruction problems.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yasdeo Bissessur and A. J. Peyton "Image reconstruction for electromagnetic inductance tomography employing a parameterized finite-element-based forward model", Proc. SPIE 4188, Process Imaging for Automatic Control, (2 February 2001); https://doi.org/10.1117/12.417173
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Reconstruction algorithms

Sensors

Image restoration

Tomography

Inductance

Detection and tracking algorithms

Electromagnetism

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