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  • The conventional Electrical Impedance Tomography (EIT) is a non-invasive imaging method of internal structure of the investigated object using spatial conductivity and relative permittivity distributions obtained from measurements of surface voltages and the known injected current. The EIT image reconstruction is an ill-posed inverse problem of finding such internal admittivity distribution, which minimizes certain optimization criteria. In the article, the improved EIT algorithm for images reconstruction of an internal admittivity distribution of the human thorax tissue is described. This approach of imaging was applied to the several computer simulations, which demonstrate the real range of application of the proposed algorithm. The obtained results were presented. The properties of reconstruction process were also discussed.
  • The conventional Electrical Impedance Tomography (EIT) is a non-invasive imaging method of internal structure of the investigated object using spatial conductivity and relative permittivity distributions obtained from measurements of surface voltages and the known injected current. The EIT image reconstruction is an ill-posed inverse problem of finding such internal admittivity distribution, which minimizes certain optimization criteria. In the article, the improved EIT algorithm for images reconstruction of an internal admittivity distribution of the human thorax tissue is described. This approach of imaging was applied to the several computer simulations, which demonstrate the real range of application of the proposed algorithm. The obtained results were presented. The properties of reconstruction process were also discussed. (en)
Title
  • 2D Simulations of Bioelectrical Properties of Thorax by EIT
  • 2D Simulations of Bioelectrical Properties of Thorax by EIT (en)
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  • 2D Simulations of Bioelectrical Properties of Thorax by EIT
  • 2D Simulations of Bioelectrical Properties of Thorax by EIT (en)
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  • RIV/00216305:26220/13:PU104976!RIV14-MSM-26220___
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  • 119693
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  • RIV/00216305:26220/13:PU104976
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  • Image reconstruction, Electric Impedance Tomography, conductivity distribution (en)
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  • [F4EC533F53B8]
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  • Stockholm
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  • Neuveden
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  • Proceedings of PIERS 2013 in Stockholm
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  • Kříž, Tomáš
  • Ostanina, Ksenia
  • Dědková, Jarmila
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  • Neuveden
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  • 978-1-934142-26-4
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  • 26220
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