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Virtual Human Models for Electromagnetic Studies and Their Applications.

Sergey N Makarov, Gregory M Noetscher, Janakinadh Yanamadala

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    This summary is machine-generated.

    This study reviews computational human models for simulating electromagnetic, thermal, and mechanical responses. It addresses limitations in current virtual human models for applications like magnetic resonance imaging safety.

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    Area of Science:

    • Computational electromagnetics
    • Biophysics
    • Medical imaging simulation

    Background:

    • Numerical simulations of human body responses (electromagnetic, thermal, mechanical) are crucial for diverse applications.
    • Current limitations exist due to the lack of anatomically adequate and numerically efficient computational models.
    • Existing "virtual human" models often lack cross-platform compatibility and detailed anatomical accuracy.

    Purpose of the Study:

    • To conduct a comprehensive review of available human and body region computational models.
    • To identify and discuss the key features and limitations of modern virtual human models.
    • To provide a resource for researchers in fields utilizing human body simulations.

    Main Methods:

    • Systematic literature review of computational human models.
    • Analysis of model features including anatomical detail, numerical efficiency, and cross-platform compatibility.
    • Categorization of models based on body region and application.

    Main Results:

    • Identified a range of human and body region models with varying levels of anatomical fidelity and computational performance.
    • Highlighted specific models suitable for magnetic resonance imaging safety, antenna research, electromagnetic tomography, and stimulation.
    • Detailed the strengths and weaknesses of different modeling approaches.

    Conclusions:

    • The availability of advanced virtual human models is critical for progress in electromagnetic, thermal, and mechanical simulations of human responses.
    • Further development is needed to enhance anatomical adequacy and numerical efficiency for cross-platform applications.
    • This review serves as a guide to selecting appropriate models for specific research needs.