Analysis and compensation for errors in electrical impedance tomography images and ventilation-related measures due to serial data collection.

ABSTRACT: Electrical impedance tomography (EIT) is increasingly being used as a bedside tool for monitoring regional lung ventilation. However, most clinical systems use serial data collection which, if uncorrected, results in image distortion, particularly at high breathing rates. The objective of this study was to determine the extent to which this affects derived parameters. Raw EIT data were acquired with the GOE-MF II EIT device (CareFusion, Höchberg, Germany) at a scan rate of 13 images/s during both spontaneous breathing and mechanical ventilation. Boundary data for periods of undisturbed tidal breathing were corrected for serial data collection errors using a Fourier based algorithm. Images were reconstructed for both the corrected and original data using the GREIT algorithm, and parameters

SUBMITTER: Yerworth RJ 

PROVIDER: S-EPMC5599443 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature