Acceleration of Ultrasound Neurostimulation Using Mixed-Precision Arithmetic

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F24%3APU152016" target="_blank" >RIV/00216305:26230/24:PU152016 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.fit.vut.cz/research/publication/13194/" target="_blank" >https://www.fit.vut.cz/research/publication/13194/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Acceleration of Ultrasound Neurostimulation Using Mixed-Precision Arithmetic

Popis výsledku v původním jazyce

Ultrasound neurostimulation, a technique that modulates the brain's electrical activity, has emerged as a significant secondary treatment option for cases resistant to pharmacological interventions. The therapy is achievable through the application of a three-dimensional steerable ultrasound, directed by patient-specific stimulation plans. These plans are meticulously crafted through full-wave ultrasound propagation simulations. Nonetheless, the computational intensity required for calculating these plans poses a significant challenge, often reaching the memory capacities of contemporary graphics processing units (GPUs). By representing material properties and k-space operators more efficiently, we achieved a 22% reduction in precision GPU memory usage, while accelerating calculations by 8.5%. This optimization introduced an error that reduced focal pressure by 0.5% without any focus movement, values that are clinically acceptable.

Název v anglickém jazyce

Acceleration of Ultrasound Neurostimulation Using Mixed-Precision Arithmetic

Popis výsledku anglicky

Ultrasound neurostimulation, a technique that modulates the brain's electrical activity, has emerged as a significant secondary treatment option for cases resistant to pharmacological interventions. The therapy is achievable through the application of a three-dimensional steerable ultrasound, directed by patient-specific stimulation plans. These plans are meticulously crafted through full-wave ultrasound propagation simulations. Nonetheless, the computational intensity required for calculating these plans poses a significant challenge, often reaching the memory capacities of contemporary graphics processing units (GPUs). By representing material properties and k-space operators more efficiently, we achieved a 22% reduction in precision GPU memory usage, while accelerating calculations by 8.5%. This optimization introduced an error that reduced focal pressure by 0.5% without any focus movement, values that are clinically acceptable.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů