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    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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    An auto-tuning numerical method (ATNM) optimizes ultrasound computed tomography (USCT) simulation parameters. This approach minimizes errors by calibrating wavefield simulations against analytical solutions, ensuring accurate system design.

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    Area of Science:

    • Computational physics
    • Medical imaging
    • Acoustic wave propagation

    Background:

    • Numerical wavefield simulation is crucial for designing Ultrasound Computed Tomography (USCT) systems.
    • Existing simulators may introduce errors due to unoptimized numerical models.
    • Optimal design requires precise calibration of physical parameters.

    Purpose of the Study:

    • To propose an auto-tuning numerical method (ATNM) for optimizing USCT simulation parameters.
    • To ensure computed wavefields converge to analytical solutions derived from acoustic scattering theory.
    • To minimize errors in numerical modeling for accurate USCT system design.

    Main Methods:

    • Developed an auto-tuning numerical method (ATNM) to optimize parameters like grid size and Courant-Friedrichs-Lewy (CFL) number.
    • Employed a genetic algorithm (GA) for automatic calibration of numerical wavefield simulations.
    • Investigated the optimal design of the perfectly matched layer (PML) absorption coefficient for USCT.

    Main Results:

    • The ATNM successfully calibrated numerical wavefield simulations.
    • Preliminary tests demonstrated minimization of mean relative error (MRE) between k-Wave simulation and analytical models.
    • The optimized PML absorption coefficient design was identified for USCT.

    Conclusions:

    • The auto-tuning numerical method (ATNM) effectively calibrates wavefield simulations for USCT.
    • The calibrated simulator shows generalizability across different physical domains.
    • This method enhances the accuracy and reliability of USCT system design through optimized numerical modeling.