Analysis and compensation for errors in electrical impedance tomography images and ventilation-related measures due to serial data collection.
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...
| Published in: | Journal of Clinical Monitoring & Computing Vol. 31; no. 5; pp. 1093 - 1102 |
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| Main Authors: | , , , |
| Format: | diagnostic images pictorial research tables/charts Journal Article |
| Published: |
Springer Nature
Oct2017
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=125148686&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 125148686 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13871307 OHC jtl: Journal of Clinical Monitoring & Computing issn: 13871307 maglogo: N pubinfo: dt: Oct2017 vid: 31 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 125148686 125148686 144038506 NLM27534624 125148686 10.1007/s10877-016-9920-y NLM27534624 125148686 ppf: 1093 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Analysis and compensation for errors in electrical impedance tomography images and ventilation-related measures due to serial data collection. aug: au: Yerworth, Rebecca Frerichs, Inéz Bayford, Richard Yerworth, Rebecca J Frerichs, Inéz affil: Medical Physics and Biomedical Engineering Department , University College London , London WC1E 6BT England, UK sug: subj: Tomography Methods Respiration Respiration, Artificial Methods Electric Impedance Lung Pathology Image Processing, Computer Assisted Methods Reproducibility of Results Algorithms Adult Signal Processing, Computer Assisted Monitoring, Physiologic Methods Data Collection Electrodes Mathematics Retrospective Design Scales Human Adult: 19-44 years ab: 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 describing the filling characteristics of the right and left lung derived on a breath by breath basis. Values from the original and corrected data were compared using paired t-tests. Of the 33 data sets, 23 showed significant differences in filling index for at least one region, 11 had significant differences in calculated tidal impedance change and 12 had significantly different filling fractions (p = 0.05). We conclude that serial collection errors should be corrected before image reconstruction to avoid clinically misleading results. pubtype: Academic Journal doctype: diagnostic images pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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