GREIT: a unified approach to 2D linear EIT reconstruction of lung images
By Andy Adler, J. Arnold, Richard H. Bayford, A. Borsic, B. Brown, P. Dixon, T. Faes, I. Frerichs, Hervé Gagnon, Y. Gärber and 9 more. Physiological Measurement, 2009
623 citations recorded by the source corpus.
Electrical impedance tomography (EIT) is an attractive method for clinically monitoring patients during mechanical ventilation, because it can provide a non-invasive continuous image of pulmonary impedance which indicates the distribution of ventilation. However, most clinical and physiological research in lung EIT is done using older and proprietary algorithms; this is an obstacle to interpretation of EIT images because the reconstructed images are not well characterized. To address this issue, we develop a consensus linear reconstruction algorithm for lung EIT, called GREIT (Graz consensus Reconstruction algorithm for EIT). This paper describes the unified approach to linear image reconstruction developed for GREIT. The framework for the linear reconstruction algorithm consists of (1) detailed finite element models of a representative adult and neonatal thorax, (2) consensus on the performance figures of merit for EIT image reconstruction and (3) a systematic approach to optimize a linear reconstruction matrix to desired performance measures. Consensus figures of merit, in order of importance, are (a) uniform amplitude response, (b) small and uniform position error, (c) small ringing artefacts, (d) uniform resolution, (e) limited shape deformation and (f) high resolution. Such figures of merit must be attained while maintaining small noise amplification and small sensitivity to electrode and boundary movement. This approach represents the consensus of a large and representative group of experts in EIT algorithm design and clinical applications for pulmonary monitoring. All software and data to implement and test the algorithm have been made available under an open source license which allows free research and commercial use.
Subfields: Electrical and Electronic Engineering, Mechanics of Materials, Surgery
View Paper: https://www.semanticscholar.org/paper/5ff74a078d165db4b5d7d7078a2f438dc1ac42b5
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In Electrical and Electronic Engineering
Citations in the corpus
- Chest electrical impedance tomography examination, data analysis, terminology, clinical use and recommendations: consensus statement of the TRanslational EIT developmeNt stuDy group (2016, methodology): “In order to select between the many proposed algorithms, work has been done to identify figures of merit to evaluate algorithm performance (25, 29, 30).”