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    Electroacoustic tomography (EAT) can image electric fields in tissue. This technique monitors electric field distribution for guiding electrotherapy.

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    Area of Science:

    • Biomedical Engineering
    • Medical Imaging
    • Electrophysiology

    Background:

    • In situ monitoring of electric fields is crucial for optimizing electrotherapy.
    • Current methods lack real-time feedback on electric field distribution within soft tissues.

    Purpose of the Study:

    • To investigate the feasibility of electroacoustic tomography (EAT) for real-time monitoring of electric field distribution in soft tissue.
    • To assess EAT's potential for guiding electrotherapy applications.

    Main Methods:

    • Computer simulations using finite element analysis (FEA) to model electric fields.
    • K-Wave simulation to model acoustic wave propagation induced by electric fields.
    • Reconstruction of electric field images using a time reversal algorithm with 128 ultrasound transducers.

    Main Results:

    • EAT imaging demonstrated a decrease in electrical energy deposition with increased electrode distance.
    • The minimum detectable voltage using EAT was 970 V with a 180 ns pulsewidth.
    • Simulations confirmed the proportionality between acoustic emission amplitude and electrical energy deposition.

    Conclusions:

    • Electroacoustic tomography is a feasible technique for in situ monitoring of electric field distribution.
    • EAT has the potential to guide electrotherapy in clinical practice.
    • Further research can optimize EAT for enhanced electrotherapy delivery.