Publication Details

Accelerating Two-Dimensional k-Wave Ultrasound Simulations Through Pruned FFT: A Treatment Planning Optimisation

OLŠÁK, O.; BAYER, D.; JAROŠ, J. Accelerating Two-Dimensional k-Wave Ultrasound Simulations Through Pruned FFT: A Treatment Planning Optimisation. Computational Science - ICCS 2025 Workshops. Lecture Notes in Computer Science, vol 15908. Cham: Springer Nature Switzerland AG, 2025. p. 67-82. ISBN: 978-3-031-97557-8.
Czech title
Akcelerace dvourozměrných k-Wave ultrazvukových simulací prostřednictvím prořezané FFT: Optimalizace plánování léčby
Type
conference paper
Language
English
Authors
Keywords

Pruned Fast Fourier Transform ,Ultrasound Simulation, Wave propagation simulation
, k-Wave , Pseudo-spectral methods

Abstract

Wave propagation simulations are foundational tools across scientific and medical
applications, yet their computational demands become significant for
high-resolution simulations, particularly in medical applications where precise
representation of different tissue geometries is crucial. This paper presents
a novel approach to accelerate 2D wave propagation simulations in the k-Wave
toolbox. Our method focuses on optimising Fourier transform computations through
spectrum pruning. The Acoustic Field Propagator along with a bisection pruning
algorithm to estimate the position of the spectral coefficients is used. Through
these optimisations, our approach achieves significant performance gains,
demonstrating speedups of up to 1.8x for large simulation domains. Experimental
evaluation on medical ultrasound simulations demonstrates that the proposed
method achieves focal point errors below 1% with minimal focus position shifts,
while skipping up to 90% of spectral coefficients in large domains. This results
in a significant simulation time reduction by half over the large simulation
domains. Although the proposed method primarily focuses on accelerating k-Wave
toolbox wave propagation simulation, it could be generally applied to wave
propagation problems.

Published
2025
Pages
67–82
Proceedings
Computational Science - ICCS 2025 Workshops
Series
Lecture Notes in Computer Science, vol 15908
Conference
25th International Conference on Computational Science, Singapore, SG
ISBN
978-3-031-97557-8
Publisher
Springer Nature Switzerland AG
Place
Cham
DOI
BibTeX
@inproceedings{BUT193778,
  author="Ondřej {Olšák} and David {Bayer} and Jiří {Jaroš}",
  title="Accelerating Two-Dimensional k-Wave Ultrasound Simulations Through Pruned FFT: A Treatment Planning Optimisation",
  booktitle="Computational Science - ICCS 2025 Workshops",
  year="2025",
  series="Lecture Notes in Computer Science, vol 15908",
  pages="67--82",
  publisher="Springer Nature Switzerland AG",
  address="Cham",
  doi="10.1007/978-3-031-97557-8\{_}6",
  isbn="978-3-031-97557-8",
  url="https://www.fit.vut.cz/research/publication/13333/"
}
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