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Uniqueness and convergence of conductivity image reconstruction in magnetic resonance electrical impedance tomography

Yong Jung Kim1, Ohin Kwon2, Jin Keun Seo3 and Eung Je Woo4

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Magnetic resonance electrical impedance tomography (MREIT) is a new medical imaging modality providing high resolution conductivity images based on the current injection MRI technique. In contrast to electrical impedance tomography (EIT), the MREIT system utilizes the internal information of current density distribution which plays an important role in eliminating the ill-posedness of the inverse problem in EIT. It has been shown that the J-substitution algorithm in MREIT reconstructs conductivity images with higher spatial resolution. However, fundamental mathematical questions, including the uniqueness of the MREIT problem itself and the convergence of the algorithm, have not yet been answered. This paper provides a rigorous proof of the uniqueness of the MREIT problem and analyses the convergence behaviour of the J-substitution algorithm.


PACS

87.63.Pn Electrical impedance tomography (EIT)

02.30.Zz Inverse problems

02.60.Gf Algorithms for functional approximation

02.60.Lj Ordinary and partial differential equations; boundary value problems

MSC

92C55 Biomedical imaging and signal processing (See also 44A12, 65R10)

35A05 General existence and uniqueness theorems

35R30 Inverse problems (undetermined coefficients, etc.) for PDE

65Yxx Computer aspects of numerical algorithms

65N21 Inverse problems

65N12 Stability and convergence of numerical methods

Subjects

Mathematical physics

Computational physics

Medical physics

Dates

Issue 5 (October 2003)

Received 2 April 2003, in final form 7 July 2003

Published 18 September 2003



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