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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Farivar, S., Malekshahabi, T., Shiari, R.: Biological effects of low level laser therapy. J. Lasers Med. Sci. 5, 58–62 (2014)
Afrin, N., Zhou, J., Zhang, Y., Tzou, D.Y., Chen, J.K.: Numerical simulation of thermal damage to living biological tissues induced by laser irradiation based on a generalized dual phase lag model. Numer. Heat Transf. Part A Appl. 61, 483–501 (2012)
Eggener, S., Salomon, G., Scardino, P.T., De la Rosette, J., Polascik, T.J., Brewster, S.: Focal therapy for prostate cancer: possibilities and limitations. Eur. Urol. 58, 57–64 (2010)
Welch, A.J., Van Gemert, M.J.C.: Optical-thermal response of laser-irradiated tissue (2011)
Tarvainen, T., Vauhkonen, M., Kolehmainen, V., Kaipio, J.P.: Finite element model for the coupled radiative transfer equation and diffusion approximation. Int. J. Numer. Methods Eng. 65, 383–405 (2006)
Wang, L., Jacques, S.L., Zheng, L.: MCML—Monte Carlo modeling of light transport in multi-layered tissues. Comput. Methods Programs Biomed. 47, 131–146 (1995)
Giordano, M.A., Gutierrez, G., Rinaldi, C.: Fundamental solutions to the bioheat equation and their application to magnetic fluid hyperthermia. Int. J. Hyperthermia. 26, 475–484 (2010)
Kannadorai, R.K., Liu, Q.: Optimization in interstitial plasmonic photothermal therapy for treatment planning. Med. Phys. 40, 103301 (2013)
Ntziachristos, V.: Going deeper than microscopy: the optical imaging frontier in biology. Nat. Methods 7, 603–614 (2010)
Xu, T., Zhang, C., Wang, X., Zhang, L., Tian, J.: Accuracy of the diffusion approximation for total time resolved reflectance from a semi-infinite turbid medium. Time. 6, 271–275 (2003)
Fasano, A., Hömberg, D., Naumov, D.: On a mathematical model for laser-induced thermotherapy. Appl. Math. Model. 34, 3831–3840 (2010)
Jiang, S.C., Zhang, X.X.: Effects of dynamic changes of tissue properties during laser-induced interstitial thermotherapy (LITT). Lasers Med. Sci. 19, 197–202 (2005)
Cvetković, M., Poljak, D., Peratta, A.: FETD computation of the temperature distribution induced into a human eye by a pulsed laser. Prog. Electromagn. Res. 120, 403–421 (2011)
Das, K., Singh, R., Mishra, S.C.: Numerical analysis for determination of the presence of a tumor and estimation of its size and location in a tissue. J. Therm. Biol 38, 32–40 (2013)
Eklund, A., Dufort, P., Forsberg, D., LaConte, S.M.: Medical image processing on the GPU - Past, present and future. Med. Image Anal. 17, 1073–1094 (2013)
Alerstam, E., Svensson, T., Andersson-Engels, S.: Parallel computing with graphics processing units for high-speed Monte Carlo simulation of photon migration. J. Biomed. Opt. 13, 060504 (2008)
Fuentes, D., Oden, J.T., Diller, K.R., Hazle, J.D., Elliott, A., Shetty, A., Stafford, R.J.: Computational modeling and real-time control of patient-specific laser treatment of cancer. Ann. Biomed. Eng. 37, 763–782 (2009)
Fang, Q., Boas, D.A.: Monte Carlo simulation of photon migration in 3D turbid media accelerated by graphics processing units. Opt. Express 17, 20178–20190 (2009)
Reis, R.F., dos Loureiro, F.S., Lobosco, M.: 3D numerical simulations on GPUs of hyperthermia with nanoparticles by a nonlinear bioheat model. J. Comput. Appl. Math. 295, 35–47 (2016)
Watté, R., Aernouts, B., Van Beers, R., Herremans, E., Ho, Q.T., Verboven, P., Nicolaï, B., Saeys, W.: Modeling the propagation of light in realistic tissue structures with MMC-fpf: a meshed Monte Carlo method with free phase function. Opt. Express 23, 17467 (2015)
Thomas, D.B.: The MWC64X Random Number Generator. http://cas.ee.ic.ac.uk/people/dt10/research/rngs-gpu-mwc64x.html#overview
IT’IS Foundation: Database of Tissue Properties. http://www.itis.ethz.ch/virtual-population/tissue-properties/overview/
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-45246-3_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-45245-6
Online ISBN: 978-3-319-45246-3
eBook Packages: Computer ScienceComputer Science (R0)