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Simulations of Light Propagation and Thermal Response in Biological Tissues Accelerated by Graphics Processing Unit

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Computational Collective Intelligence (ICCCI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9876))

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Abstract

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.

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Acknowledgment

This work and the contribution were supported by project “Smart Solutions for Ubiquitous Computing Environments” FIM, University of Hradec Kralove, Czech Republic (under ID: UHK-FIM-SP-2016-2102). The work was also supported by project 16-13967S.

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Correspondence to Ondrej Krejcar .

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Mesicek, J., Zdarsky, J., Dolezal, R., Krejcar, O., Kuca, K. (2016). Simulations of Light Propagation and Thermal Response in Biological Tissues Accelerated by Graphics Processing Unit. In: Nguyen, N., Iliadis, L., Manolopoulos, Y., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2016. Lecture Notes in Computer Science(), vol 9876. Springer, Cham. https://doi.org/10.1007/978-3-319-45246-3_23

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  • DOI: https://doi.org/10.1007/978-3-319-45246-3_23

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-45246-3

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