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Message Passing Interface Parallelization for Two-Way Coupled Euler-Lagrange Simulation of Microbubble Enhanced HIFU.

Authors: Ma J, Gnanaskandan A, Hsiao CT, Chahine GL

Microbubble enhanced high intensity focused ultrasound (HIFU) is of great interest to tissue ablation for tumor treatment such as in liver and brain cancers. To accurately characterize the acoustic and thermal fields during this process, a coupled Euler-Lagrange model is used. The ultrasound field is modeled using compressible Navier-Stokes equations on an Eulerian grid, while the microbubbles are tracked in a Lagrangian fashion. The coupling is realized through the void fraction computed from the instantaneous bubble volumes. To speed up the computations, an message passing interface parallelization scheme based on domain decomposition is herein proposed. During each time-step, message passing interface processors, each handling one subdomain, are first used to execute the fluid computation, and then the bubble computations. This is followed by the coupling procedure. The coupling is challenging as the effect of the bubbles through the void fraction at an Eulerian point near a subdomain border will require information from bubbles located in different subdomains, and vice versa. This is addressed by a special utilization of ghost cells surrounding each fluid subdomain, which allows bubbles to spread their void fraction effects across subdomain edges without the need of exchanging directly bubble information between subdomains and significantly increasing overhead. After a careful verification of gas effects conservation, this parallelization scheme is validated and illustrated on a typical microbubble enhanced HIFU problem, followed by parallelization scaling tests and efficiency analysis.

Introduction

Purpose Thermal ablation
Study Objective Develop and validate an MPI-based domain-decomposition parallelization scheme using ghost cells for a coupled Euler–Lagrange model to efficiently simulate microbubble-enhanced HIFU acoustic and thermal fields.
Disease model Liver and brain cancers (tumor ablation)

Outcomes and Safety

Summary of Outcomes Microbubble-enhanced HIFU improves tissue ablation for tumor treatment (e.g., liver and brain), and the authors present a validated, efficiently parallelized coupled Euler–Lagrange model that accurately captures acoustic/thermal fields and bubble effects. The paper does not report testing of specific focused-ultrasound parameter variations or list successful parameters.
Safety-related matter The abstract contains no mention of safety issues or adverse effects; none were reported.

Brain Region

Visualization unavailable

Ultrasound Parameters

Focal Characteristics Focal depth: None; Focal length: None; Aperture size: None

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