We are joining forces across Europe to advance a new non-invasive technology - transcranial ultrasound stimulation (TUS) - to reversibly modulate brain regions with exquisite millimetre precision, even deep in the brain. As such, we aim to establish an urgently needed novel treatment option for neurological and psychiatric diseases. TUS combines the precision and reach of invasive deep brain stimulation, required to directly target clinically relevant structures, with the non-invasive and low-cost nature of transcranial electromagnetic techniques that are inherently limited in focus and depth.

Description in Czech
Spojujeme síly po celé Evropě, abychom pokročili v nové neinvazivní technologii - transkraniální ultrazvukové stimulaci (TUS) - k reverzibilní modulaci oblastí mozku s vynikající milimetrovou přesností, a to i hluboko v mozku. Jako takové se snažíme vytvořit naléhavě potřebnou novou možnost léčby neurologických a psychiatrických onemocnění. TUS kombinuje přesnost a dosah invazivní hluboké mozkové stimulace, potřebné k přímému zacílení na klinicky relevantní struktury, s neinvazivní a nízkonákladovou povahou transkraniálních elektromagnetických technik, které jsou ze své podstaty omezené v ohnisku a hloubce.

Keywords
transcranial ultrasound stimulation, human brain, magnetic resonance imaging

101071008

English

Jaroš Jiří, doc. Ing., Ph.D. - principal person responsible
Bayer David, Ing. - fellow researcher
Chlebík Jakub, Ing. - fellow researcher
Jaroš Marta, Ing., Ph.D. - fellow researcher
Kuník Oliver, Ing. - fellow researcher
Kupčo Patrik, Bc. - fellow researcher
Olšák Ondřej, Ing. - fellow researcher

Department of Computer Systems
- responsible department (26.10.2021 - not assigned)
Supercomputing Technologies Research Group SC@FIT
- internal (26.10.2021 - 30.9.2026)
Department of Computer Systems
- co-beneficiary (26.10.2021 - 30.9.2026)
Fraunhofer Institute
- co-beneficiary (26.10.2021 - 30.9.2026)
Radboud University Nijmegen
- co-beneficiary (26.10.2021 - 30.9.2026)
University College London
- beneficiary (26.10.2021 - 30.9.2026)

JAROŠ, J.; BAYER, D. afft: a C++17 Wrapper Library for FFT-like Computations on Various Targets. Soláň: 2024. p. 0-0.
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KUNÍK, O.; JAROŠ, J. Accelerating Hybrid Local Domain Decomposition for the k-Wave Toolbox on Multi-GPU Systems. Ostrava: 2024. p. 0-0.
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BAYER, D.; JAROŠ, J. MATLAB Interface To The afft Library. Ostrava: 2024. p. 0-0.
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OLŠÁK, O.; JAROŠ, J. Investigating the Possibility of Using Pruned FFT in Ultrasound Wave Propagation Simulations. Ostrava: 2024. p. 0-0.
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JAROŠ, J.; CHLEBÍK, J. Enhancing Acoustic Neural Predictors with Heterogeneous Density. Soláň: 2024. p. 0-0.
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JAROŠ, M.; JAROŠ, J. k-Dispatch: Enabling Cost-Optimized Biomedical Workflow Offloading. Solan: 2024. p. 0-0.
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CHLEBÍK, J.; JAROŠ, J. Evolutionary Exploration of a Neural Network for Predicting Ultrasound Propagation. Ostrava: 2023. p. 0-0.
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CHLEBÍK, J.; JAROŠ, J. Evolutionary Exploration of an Ultrasound Propagation Predictor Neural Net. Brno: 2026. p. 0-0.
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JAROŠ, J.; JAROŠ, M.; BUCHTA, M. Estimation of Distributed Ultrasound Simulation Execution Time Using Machine Learning. In 2024 IEEE Congress on Evolutionary Computation (CEC). Yokohama: Institute of Electrical and Electronics Engineers, 2024. p. 1-8. ISBN: 979-8-3503-0836-5.
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JAROŠ, J.; DUCHOŇ, R. Acceleration of Ultrasound Neurostimulation Using Mixed-Precision Arithmetic. HPDC '24: Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing. New York: Association for Computing Machinery, 2024. p. 370-372. ISBN: 979-8-4007-0413-0.
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JAROŠ, M.; JAROŠ, J. k-Dispatch: Enabling Cost-Optimized Biomedical Workflow Offloading. In HPDC '24: Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing. New York: Association for Computing Machinery, 2024. p. 358-360. ISBN: 979-8-4007-0413-0.
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OLŠÁK, O.; JAROŠ, J. Techniques for Efficient Fourier Transform Computation in Ultrasound Simulations. In HPDC '24: Proceedings of the 33nd International Symposium on High-Performance Parallel and Distributed Computing. New York: Association for Computing Machinery, 2024. p. 361-363. ISBN: 979-8-4007-0413-0.
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BAYER, D.; JAROŠ, J. Acceleration of Heat Diffusion Simulation on Single-Node Systems. Ostrava: 2023. p. 0-0.
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OLŠÁK, O.; JAROŠ, J. Techniques for Efficient Fourier Transform Computation in Ultrasound Simulations. Soláň: 2024. p. 0-0.
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JAROŠ, J.; TREEBY, B.; JAROŠ, M. k-Plan: From the Hospital to the Cluster and Back. Sydney: 2024. p. 0-0.
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JAROŠ, J.: MPI Error Checker; Software Package for Reporting Errors in Distributed MPI Applications. https://github.com/jarosjir/MPIErrorChecker. URL: https://github.com/jarosjir/MPIErrorChecker. (software)
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OLŠÁK, O.; JAROŠ, J. On the usage of the Sparse Fourier Transform in ultrasound propagation simulation. In ICBRA '23: Proceedings of the 10th International Conference on Bioinformatics Research and Applications. New York: Association for Computing Machinery, 2024. p. 107-113. ISBN: 979-8-4007-0815-2.
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OLŠÁK, O.; JAROŠ, J. Evaluation of libraries for the one-dimensional sparse Fourier transform. Ostrava: 2022. p. 0-0.
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Responsibility: Jaroš Jiří, doc. Ing., Ph.D.