Techniques for Efficient Fourier Transform Computation in Ultrasound Simulations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F24%3APU152002" target="_blank" >RIV/00216305:26230/24:PU152002 - isvavai.cz</a>
Result on the web
<a href="https://dl.acm.org/doi/10.1145/3625549.3658825" target="_blank" >https://dl.acm.org/doi/10.1145/3625549.3658825</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3625549.3658825" target="_blank" >10.1145/3625549.3658825</a>
Alternative languages
Result language
angličtina
Original language name
Techniques for Efficient Fourier Transform Computation in Ultrasound Simulations
Original language description
Noninvasive ultrasound surgeries represent a rapidly growing field in medical applications. Preoperative planning often relies on computationally expensive ultrasound simulations. This paper explores methods to accelerate these simulations by reducing the computation time of the Fourier transform, which is an integral part of the simulation in the k-Wave toolbox. Two experiments and their results will be presented. The first investigates substituting the standard Fast Fourier Transform (FFT) with a Sparse Fourier Transform (SFT). The second approach utilises filtering of the frequency spectrum, inspired by image compression algorithms. The aim of both experiments is to find a suitable method for accelerating the Fourier transform while utilising the sparsity of the spectrum in acoustic pressure. Our findings show that filtering offers significantly better results in terms of computation error, leading to a substantial reduction in overall simulation runtime.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
HPDC '24: Proceedings of the 33nd International Symposium on High-Performance Parallel and Distributed Computing
ISBN
979-8-4007-0413-0
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
361-363
Publisher name
Association for Computing Machinery
Place of publication
New York
Event location
Polo Piagge, University of Pisa Via Giacomo Matt
Event date
Jun 3, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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