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  3. A Bi-objective Array Optimization Framework For Magnetocardiographic Source Imaging.
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  3. A Bi-objective Array Optimization Framework For Magnetocardiographic Source Imaging.

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A Bi-objective Array Optimization Framework for Magnetocardiographic Source Imaging.

Junhuai He, Shuyi Shang, Shuang Liang

    IEEE Transactions on Bio-Medical Engineering
    |June 25, 2026

    View abstract on PubMed

    Summary
    This summary is machine-generated.

    A new bi-objective array optimization framework (BoAOF) optimizes sensor placement for magnetocardiographic source imaging (MCSI) systems. Optimized arrays improve accuracy and reduce deviation, advancing flexible OPM-based MCSI system design.

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    Area of Science:

    • Biomedical Engineering
    • Magnetoencephalography
    • Sensor Technology

    Background:

    • Optically pumped magnetometers (OPMs) enable flexible magnetocardiographic source imaging (MCSI) systems.
    • Sensor array configuration critically impacts MCSI cost and performance.
    • Principled strategies for MCSI sensor array design are needed.

    Purpose of the Study:

    • Propose a novel sensor array design strategy for MCSI systems.
    • Develop a bi-objective array optimization framework (BoAOF) for MCSI.

    Main Methods:

    • Modeled array design as a dual-objective optimization problem: maximizing sensitivity and minimizing spatial deviation.
    • Integrated forward modeling with the non-dominated sorting genetic algorithm II (NSGA-II) to generate Pareto fronts.
  • Employed a hybrid CRITIC-Entropy-VIKOR decision process to select optimal sensor configurations.

    • Main Results:

    • BoAOF-optimized arrays outperformed baseline methods in simulations and phantom experiments.
    • Achieved lower mean dipole localization error and reduced mean spatial deviation.
    • Demonstrated higher mean source-reconstruction signal-to-noise ratio.

    Conclusions:

    • The proposed BoAOF offers a novel strategy for MCSI sensor array design.
    • Provides a methodological foundation for designing flexible OPM-based MCSI systems.