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Hybrid Message-Passing Interface-Open Multiprocessing Accelerated Euler-Lagrange Simulations of Microbubble Enhanced

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A new computational model enhances microbubble-guided high-intensity focused ultrasound (HIFU) cancer treatments. A hybrid parallelization strategy significantly speeds up simulations, improving efficiency for solid tumor ablation.

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Area of Science:

  • Medical physics
  • Computational modeling
  • Ultrasound technology

Background:

  • Microbubble-enhanced high-intensity focused ultrasound (HIFU) shows promise for solid tumor ablation in liver and brain cancers.
  • Microbubbles improve therapeutic heating and reduce damage to surrounding tissues.
  • Accurate modeling of acoustic and thermal fields is crucial for optimizing HIFU treatments.

Purpose of the Study:

  • To develop and validate a compressible Euler-Lagrange coupled model for microbubble-enhanced HIFU.
  • To implement a hybrid Message Passing Interface (MPI)-Open Multi-Processing (OpenMP) parallelization scheme to reduce computational cost.
  • To analyze acoustic shadowing effects and assess the efficiency of the parallelized model.

Main Methods:

  • A compressible Navier-Stokes solver was used for the ultrasound acoustic field.
  • A discrete singularities model handled bubble dynamics.
  • A multilevel hybrid MPI-OpenMP parallelization strategy was employed, with OpenMP threads dynamically allocated to subdomains with higher bubble density.

Main Results:

  • The hybrid MPI-OpenMP solver successfully simulated microbubble-enhanced HIFU with numerous microbubbles.
  • Analysis of acoustic shadowing caused by bubble clouds was performed.
  • Efficiency tests demonstrated a 2-3 times speedup compared to traditional parallelization methods on the same hardware.

Conclusions:

  • The developed computational model accurately characterizes acoustic and thermal fields in microbubble-enhanced HIFU.
  • The hybrid parallelization scheme significantly improves computational efficiency, making it suitable for practical medical applications.
  • This approach facilitates further physical studies and optimization of bubble-enhanced HIFU therapies.