Reconstruction of conductivity changes due to ventilation and perfusion from EIT data collected on a rectangular electrode array.
In this paper we demonstrate that conductivity changes caused by ventilation and perfusion in a human subject can be reconstructed from electrical impedance tomography data collected on a rectangular array of electrodes placed on a subject's chest. Currents are applied on the electrodes and the resulting voltages on the electrodes are measured. A 3D reconstruction algorithm is used to reconstruct the conductivity distribution in the region beneath the array. Time traces of the reconstructed conductivity distribution demonstrate the detected changes in conductivity due to ventilation and perfusion.
Department of Mathematics, Colorado State University, Fort Collins 80523, USA. mueller@math.colostate.edu
J L
JL
Mueller
D
D
Isaacson
J C
JC
Newell
D000465:Algorithms; D017097:Electric Impedance; D004566:Electrodes; D006321:Heart / Q000502:physiology; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000706:statistics & numerical data; D012119:Respiration; D013909:Thorax / Q000033:anatomy & histology; D014054:Tomography / Q000295:instrumentation / Q000379:methods* / Q000706:statistics & numerical data