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- W2191307768 abstract "We consider electrical impedance tomography (EIT) imaging of the brain. The brain is surrounded by the poorly conducting skull which has low conductivity compared to the brain. The skull layer causes a partial shielding effect which leads to weak sensitivity for the imaging of the brain tissue. In this paper we propose an approach based on the Bayesian approximation error approach, to enhance the contrast in brain imaging. With this approach, both the (uninteresting) geometry and the conductivity of the skull are embedded in the approximation error statistics, which leads to a computationally efficient algorithm that is able to detect features such as internal haemorrhage with significantly increased sensitivity and specificity. We evaluate the approach with simulations and phantom data." @default.
- W2191307768 created "2016-06-24" @default.
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- W2191307768 date "2015-12-07" @default.
- W2191307768 modified "2023-09-27" @default.
- W2191307768 title "Contrast enhancement in EIT imaging of the brain" @default.
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- W2191307768 doi "https://doi.org/10.1088/0967-3334/37/1/1" @default.
- W2191307768 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26642274" @default.
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