Statistical inversion in electrical impedance tomography using mixed total variation and non-convex ℓp regularization prior
2015 ◽
Vol 23
(5)
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Keyword(s):
AbstractElectrical impedance tomography (EIT) is a well-known technique to estimate the conductivity distribution γ of a body Ω with unknown electromagnetic properties. EIT is a severely ill-posed inverse problem. In this paper, we formulate the EIT problem in the Bayesian framework using mixed total variation (TV) and non-convex ℓ
1994 ◽
Vol 54
(6)
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pp. 1542-1560
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2016 ◽
Vol 9
(4)
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pp. 1525-1551
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2018 ◽
Vol 30
(3)
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pp. 481-504
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2000 ◽
Vol 47
(6)
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pp. 792-800
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