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Model Selection Based Algorithm in Neonatal Chest EIT
2021
IEEE Transactions on Biomedical Engineering
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This paper presents a new method for selecting a patient specific forward model to compensate for anatomical variations in electrical impedance tomography (EIT) monitoring of neonates. The method uses a combination of shape sensors and absolute reconstruction. It takes advantage of a probabilistic approach which automatically selects the best estimated forward model fit from pre-stored library models. Absolute/static image reconstruction is performed as the core of the posterior probability
doi:10.1109/tbme.2021.3053463
pmid:33476264
fatcat:g2kowg6ym5fxjg7a2qzcshnmta