Message Passing Interface Parallelization for Two-Way Coupled Euler-Lagrange Simulation of Microbubble Enhanced HIFU
Jingsen Ma1, Aswin Gnanaskandan1, Chao-Tsung Hsiao1
1Dynaflow, Inc., 10621-J Iron Bridge Road, Jessup, MD 20794.
This study introduces a parallelized computational model for microbubble-enhanced high-intensity focused ultrasound (HIFU) tumor ablation. The method efficiently simulates acoustic and thermal fields, improving treatment characterization.
Area of Science:
- Computational physics and biomedical engineering.
- Advanced modeling of ultrasound therapies.
Background:
- Microbubble-enhanced high-intensity focused ultrasound (HIFU) shows promise for liver and brain cancer tumor ablation.
- Accurate characterization of acoustic and thermal fields is crucial for optimizing HIFU treatments.
Purpose of the Study:
- To develop and validate a parallelized computational model for microbubble-enhanced HIFU.
- To accurately simulate the coupled acoustic, thermal, and microbubble dynamics during HIFU procedures.
Main Methods:
- A coupled Euler-Lagrange model was employed, solving Navier-Stokes equations for the fluid and tracking microbubbles in a Lagrangian manner.
- Message Passing Interface (MPI) parallelization using domain decomposition was implemented for efficient computation.
- Ghost cells were utilized to manage the coupling of bubble effects across subdomain borders, minimizing communication overhead.
Main Results:
- The proposed parallelization scheme was verified for gas effects conservation and validated on a microbubble-enhanced HIFU scenario.
- Demonstrated efficient parallelization scaling and performance analysis for the computational model.
- The ghost cell strategy effectively handled inter-subdomain coupling without direct bubble information exchange.
Conclusions:
- The developed parallelized Euler-Lagrange model provides an efficient and accurate tool for simulating microbubble-enhanced HIFU.
- This computational approach can aid in the precise characterization and optimization of HIFU for cancer treatments.
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