The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
A Matlab toolkit for three-dimensional electrical impedance tomography: a contribution to the Electrical Impedance and Diffuse Optical Reconstruction Software project
Open accessAbstract
The objective of the Electrical Impedance and Diffuse Optical Reconstruction Software project is to develop freely available software that can be used to reconstruct electrical or optical material properties from boundary measurements. Nonlinear and ill posed problems such as electrical impedance and optical tomography are typically approached using a finite element model for the forward calculations and a regularized nonlinear solver for obtaining a unique and stable inverse solution. Most of the commercially available finite element programs are unsuitable for solving these problems because of their conventional inefficient way of calculating the Jacobian, and their lack of accurate electrode modelling. A complete package for the two-dimensional EIT problem was officially released by Vauhkonen et al at the second half of 2000. However most industrial and medical electrical imaging problems are fundamentally three-dimensional. To assist the development we have developed and released a free toolkit of Matlab routines which can be employed to solve the forward and inverse EIT problems in three dimensions based on the complete electrode model along with some basic visualization utilities, in the hope that it will stimulate further development. We also include a derivation of the formula for the Jacobian (or sensitivity) matrix based on the complete electrode model.
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Cites
An Algorithm for Least-Squares Estimation of Nonlinear Parameters
Marquardt, D. W. (1963) · Journal of the Society for Industrial and Applied Mathematics · doi:10.1137/0111030 · Cited by 30,728
The quickhull algorithm for convex hulls
Barber, C. B., Dobkin, D. P., & Huhdanpaa, H. (1996) · ACM Transactions on Mathematical Software · doi:10.1145/235815.235821 · Cited by 5,359
Optical tomography in medical imaging
Arridge, S. R. (1999) · Inverse Problems · doi:10.1088/0266-5611/15/2/022 · Cited by 2,524
Three-dimensional electrical impedance tomography
Metherall, P., Barber, D. C., Smallwood, R. H., & Brown, B. H. (1996) · Nature · doi:10.1038/380509a0 · Cited by 386
A Kalman filter approach to track fast impedance changes in electrical impedance tomography
Vauhkonen, M., Karjalainen, P. A., & Kaipio, J. P. (1998) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.664204 · Cited by 184
Adaptive mesh refinement techniques for electrical impedance tomography
Molinari, M., Cox, S., Blott, B. H., & Daniell, G. J. (2001) · Physiological Measurement · doi:10.1088/0967-3334/22/1/312 · Cited by 44
Cited by
EIT reconstruction algorithms: pitfalls, challenges and recent developments
Lionheart, W. R. B. (2004) · Physiological Measurement · doi:10.1088/0967-3334/25/1/021 · Cited by 447
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Metadata
- Authors
- Polydorides, N., & Lionheart, W. R. B.
- Venue
- Measurement Science and Technology
- Publisher
- IOP Publishing
- Published
- 2002-11-04
- Volume
- 13
- Issue
- 12
- Pages
- 1871-1883
- ISSN
- 0957-0233 (ISSN-L)
- OpenAlex
- W2054962225
- Cited by
- 454
- References
- 6
- FWCI
- 11.92
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Polydorides, N., & Lionheart, W. R. B. (2002). A Matlab toolkit for three-dimensional electrical impedance tomography: a contribution to the Electrical Impedance and Diffuse Optical Reconstruction Software project. Measurement Science and Technology. https://doi.org/10.1088/0957-0233/13/12/310
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