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Poster De Conférence Année : 2023

Benchmarking CIVA Healthcare platform for transcranial ultrasound simulation

Résumé

Objectives: Recent work presented benchmarking and intercomparison of several transcranial acoustic modelling tools. We expand on that work with benchmarking of the CIVA Healthcare Simulation platform. Methods: The 18 unique numerical benchmarks provided in [1] were reproduced in the CIVA Healthcare simulation platform, which uses a ray-tracing model to provide rapid calculation of acoustic fields. All simulations were performed using a desktop PC. Benchmark values and intercomparisons were generated using the MATLAB code provided in supplemental material, with the CIVA results being appended to the existing comparisons. [1] Aubry et al (2022). JASA, 152(2) Results: Very good agreement was found between the results obtained by CIVA and those obtained through other methods, with the most significant differences being observed in large 3D calculations through a real skull. These large 3D simulations used a lower number of rays and internal reflections to decrease computation time in order to accommodate the atypically large simulated domain, without significant deterioration of the results. In contrast with full-wave methods, the ray-tracing model provides fast calculation of the acoustic field only at specified points, typically near the focal target, without simulation of the field in the intervening or surrounding space. Conclusions: The CIVA Healthcare Simulation platform shows strong agreement with other models of transcranial ultrasound modelling. These results serve to validate the CIVA ray-tracing method, and further build confidence in the use of computational modelling to support transcranial ultrasound therapies. Acknowledgements: This work was financially supported by the Focused Ultrasound Foundation, and conducted in cooperation with the CEA-LIST (French Alternative Energies and Atomic Energy Commission).
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Dates et versions

cea-04204709 , version 1 (12-09-2023)

Identifiants

  • HAL Id : cea-04204709 , version 1

Citer

Andrew Drainville, Sylvain Chatillon, Cyril Lafon. Benchmarking CIVA Healthcare platform for transcranial ultrasound simulation. ISTU 2023 - The 22nd Annual International Symposium on Therapeutic Ultrasounds, Apr 2023, Lyon, France. , 2023. ⟨cea-04204709⟩
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