Simulations of light propagation and thermal response in biological tissues accelerated by graphics processing unit

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F16%3A50005010" target="_blank" >RIV/62690094:18450/16:50005010 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-45246-3_23" target="_blank" >http://dx.doi.org/10.1007/978-3-319-45246-3_23</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-45246-3_23" target="_blank" >10.1007/978-3-319-45246-3_23</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Simulations of light propagation and thermal response in biological tissues accelerated by graphics processing unit

Popis výsledku v původním jazyce

In this paper we report on a prototype program for laser-tissue interaction simulation accelerated by graphics processing unit (GPU). We developed a Monte Carlo (MC) model for photon migration in arbitrary shaped turbid media which simulates the light flux inside biological tissues to solve the thermal source term in Pennes' bioheat transfer equation (PBTE). Since both problems are highly parallelizable, we have transformed the underlying mathematical formalism into an OpenCL language code to reduce the computational time-costs. Comparing to sequential implementation, speedup of 210 was achieved in our simulation with GPU. Acceleration benefits are demonstrated separately for MC and PBTE and also for single simulation with both models. The simulation results were obtained in real-time allowing the effective usage in laser interstitial thermal therapy for thermal damage evaluation.

Název v anglickém jazyce

Simulations of light propagation and thermal response in biological tissues accelerated by graphics processing unit

Popis výsledku anglicky

In this paper we report on a prototype program for laser-tissue interaction simulation accelerated by graphics processing unit (GPU). We developed a Monte Carlo (MC) model for photon migration in arbitrary shaped turbid media which simulates the light flux inside biological tissues to solve the thermal source term in Pennes' bioheat transfer equation (PBTE). Since both problems are highly parallelizable, we have transformed the underlying mathematical formalism into an OpenCL language code to reduce the computational time-costs. Comparing to sequential implementation, speedup of 210 was achieved in our simulation with GPU. Acceleration benefits are demonstrated separately for MC and PBTE and also for single simulation with both models. The simulation results were obtained in real-time allowing the effective usage in laser interstitial thermal therapy for thermal damage evaluation.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

Computational collective intelligence. Part II.

ISSN

0302-9743

e-ISSN

—

Svazek periodika

9876

Číslo periodika v rámci svazku

2016

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

10

Strana od-do

242-251

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-84989855586