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Sequential finite element model of tissue electropermeabilization.

Davorka Sel1, David Cukjati, Danute Batiuskaite

  • 1University of Ljubljana, Faculty of Electrical Engineering, SI-1000 Ljubljana, Slovenia. davorka@svarun.fe.uni-lj.si

IEEE Transactions on Bio-Medical Engineering
|May 13, 2005
PubMed
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This study introduces a novel sequential finite element model to simulate electropermeabilization dynamics in tissues. The model accurately predicts permeabilized tissue volume, offering a tool for optimizing electrical treatment parameters.

Area of Science:

  • Biomedical Engineering
  • Computational Biology
  • Electrophysiology

Background:

  • Electropermeabilization involves dynamic changes in cell membrane permeability under external electric fields.
  • Understanding tissue-level electropermeabilization is crucial for effective electrical treatments.

Purpose of the Study:

  • To develop and validate a sequential finite element model for simulating electric field distribution and tissue permeabilization dynamics.
  • To provide a computational tool for determining optimal parameters for effective tissue electropermeabilization.

Main Methods:

  • A sequential finite element model was developed, considering local changes in tissue conductivity due to permeabilization.
  • Tissue conductivity was updated at discrete time intervals based on electric field intensity and a sigmoid dependency.

Related Experiment Videos

  • The model was validated against in vivo experimental measurements on rabbit liver tissue.

    • Main Results:

    • The model accurately predicts the distribution of the electric field, accounting for dynamic changes in tissue conductivity.
    • Validation confirmed the model's ability to predict both reversible and irreversible permeabilized tissue areas.
    • Model predictions for total current during and after electrical pulses closely matched experimental data.

    Conclusions:

    • The developed sequential finite element model is the first to describe electropermeabilization dynamics at the tissue level.
    • The model serves as a valuable tool for predicting permeabilized tissue volume and optimizing electrical treatment parameters.
    • This approach advances the understanding and application of electropermeabilization in biological tissues.