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Updated: Aug 30, 2025

Author Spotlight: Advancing Human Brain Modulation – Optimized Protocols for Transcranial Ultrasound Stimulation Experiments
Published on: June 28, 2024
Benchmark problems for transcranial ultrasound simulation: Intercomparison of compressional wave models
Jean-Francois Aubry1, Oscar Bates2, Christian Boehm3
1Physics for Medicine Paris, National Institute of Health and Medical Research (INSERM) U1273, ESPCI Paris, Paris Sciences and Lettres University, French National Centre for Scientific Research (CNRS) UMR 8063, Paris, France.
Computational models for ultrasound therapy were benchmarked to ensure accuracy. Results show good agreement between different modeling tools, validating their use for transcranial ultrasound applications.
Area of Science:
- Acoustics
- Biomedical Engineering
- Computational Modeling
Background:
- Computational models of acoustic wave propagation are crucial for transcranial ultrasound (TUS) therapies, aiding in calculations for intracranial pressure and skull distortion correction.
- Standardized benchmarks are needed to enable intercomparison of diverse modeling tools and techniques within the research community.
Purpose of the Study:
- To establish a set of numerical benchmarks for acoustic wave propagation in transcranial ultrasound.
- To present intercomparison results from multiple computational modeling tools using these benchmarks.
Main Methods:
- Defined nine benchmarks of increasing geometric complexity, including single-layer bone, multi-layer bone, and whole skull models.
- Utilized two transducer configurations (focused bowl and plane piston at 500 kHz) across 18 benchmark permutations.
- Employed eleven distinct modeling tools representing various numerical techniques (FDTD, ASM, pseudospectral, BEM, SEM).
Main Results:
- Demonstrated good agreement among the eleven computational models, especially in predicting the acoustic focus's position, size, and magnitude within the skull.
- Achieved median differences of less than 10% for focal pressure and 1 mm for focal position in cross-comparisons between models.
- Found that benchmark definitions, results, and intercomparison codes are publicly available.
Conclusions:
- The established benchmarks provide a reliable framework for validating computational models of acoustic wave propagation for TUS.
- The intercomparison results confirm the general accuracy and consistency of various numerical methods used in the field.
- Availability of benchmark data promotes further development and standardization in TUS modeling.
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