Adaptive mesh refinement techniques for electrical impedance tomography

M. Molinari, S. J. Cox, B. H. Blott, G. J. Daniell

Research output: Chapter in Book/Report/Published conference proceedingChapter

Abstract

Adaptive mesh refinement techniques can be applied to increase the efficiency of electrical impedance tomography reconstruction algorithms by reducing computational and storage cost as well as providing problem-dependent solution structures. A self-adaptive refinement algorithm based on an a posteriori error estimate has been developed and its results are shown in comparison with uniform mesh refinement for a simple head model.
Original languageEnglish
Title of host publicationPhysiological Measurement
Pages91-96
Number of pages6
DOIs
Publication statusPublished - 2001

Publication series

NamePhysiological Measurement
Volume22

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Electric Impedance
Tomography
Head
Costs and Cost Analysis

Cite this

Molinari, M., Cox, S. J., Blott, B. H., & Daniell, G. J. (2001). Adaptive mesh refinement techniques for electrical impedance tomography. In Physiological Measurement (pp. 91-96). (Physiological Measurement; Vol. 22). https://doi.org/10.1088/0967-3334/22/1/312
Molinari, M. ; Cox, S. J. ; Blott, B. H. ; Daniell, G. J. / Adaptive mesh refinement techniques for electrical impedance tomography. Physiological Measurement. 2001. pp. 91-96 (Physiological Measurement).
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Molinari, M, Cox, SJ, Blott, BH & Daniell, GJ 2001, Adaptive mesh refinement techniques for electrical impedance tomography. in Physiological Measurement. Physiological Measurement, vol. 22, pp. 91-96. https://doi.org/10.1088/0967-3334/22/1/312

Adaptive mesh refinement techniques for electrical impedance tomography. / Molinari, M.; Cox, S. J.; Blott, B. H.; Daniell, G. J.

Physiological Measurement. 2001. p. 91-96 (Physiological Measurement; Vol. 22).

Research output: Chapter in Book/Report/Published conference proceedingChapter

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Molinari M, Cox SJ, Blott BH, Daniell GJ. Adaptive mesh refinement techniques for electrical impedance tomography. In Physiological Measurement. 2001. p. 91-96. (Physiological Measurement). https://doi.org/10.1088/0967-3334/22/1/312