Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Accounting for erroneous electrode data in electrical impedance tomography.

Andy Adler1

  • 1School of Information Technology and Engineering, University of Ottawa, Ottawa K1N 6N5, Ontario, Canada. aadler@uottawa.ca

Physiological Measurement
|March 10, 2004
PubMed
Summary

This study presents a new method for electrical impedance tomography (EIT) image reconstruction, enabling the use of valid data even with detached electrodes. This approach improves image quality by handling missing electrode data effectively.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same authorSame journal

Updated consensus terminology and definitions in chest electrical impedance tomography.

Physiological measurement·2026
Same author

Grading quality score of contrast electrical impedance tomography for lung ventilation-perfusion: development and preliminary evaluation of the impedance-time curve.

Respiratory medicine·2026
Same author

Thoracic electrical impedance tomography using a two-plane electrode configuration in horses.

Equine veterinary journal·2026
Same author

A robust temporal metric of ventilation inhomogeneity in electrical impedance tomography.

Physiological measurement·2026
Same author

Lung perfusion estimation by saline-contrast EIT without breath hold: a randomized cross-over trial.

Critical care (London, England)·2026
Same author

Comparison of early and late time-controlled adaptive ventilation on pulmonary gas exchange in anesthetized horses.

Veterinary anaesthesia and analgesia·2025

Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Computational Electromagnetics

Background:

  • Electrode detachment in electrical impedance tomography (EIT) compromises experimental measurements.
  • Existing EIT methods struggle to process data with missing or poorly connected electrodes, leading to unusable datasets and image artifacts.

Purpose of the Study:

  • To develop an image reconstruction methodology for EIT that effectively utilizes remaining valid data when electrodes are detached or poorly connected.
  • To model missing electrode data within the EIT reconstruction framework to mitigate its impact on image quality.

Main Methods:

  • Linearization of the EIT difference imaging forward problem (z = Hx) using a finite element model.
  • Application of a maximum a posteriori (MAP) estimate for image reconstruction, incorporating a priori estimates of image and measurement noise cross-correlations (Rx and Rn).

Related Experiment Videos

  • Modeling missing electrode data as infinite noise within the reconstruction formulation.

    • Main Results:

    • Simulations show that the developed methodology yields position error and resolution close to those obtained without missing data, provided the target is sufficiently distant from affected electrodes.
    • The technique effectively removes artifacts from EIT images when applied to experimental data.
    • The method naturally incorporates missing electrode data by assigning infinite noise to affected electrode measurements.

    Conclusions:

    • The proposed EIT image reconstruction methodology successfully handles detached or poorly connected electrodes.
    • This approach allows for the utilization of remaining valid data, improving the robustness and applicability of EIT.
    • The technique demonstrates potential for enhancing image quality and reducing artifacts in practical EIT applications.