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Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing pp 45–55Cite as

A GPU Accelerated Finite Differences Method of the Bioheat Transfer Equation for Ultrasound Thermal Ablation

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 653))

Abstract

Over the years, high intensity focused ultrasound (FUS) therapy has become a promising therapeutic alternative for non-invasive tumor treatment. The basic idea of FUS therapy is the elevation of the tissue temperature by the application of focused ultrasound beams to focal spot in the tumor. Biothermal modeling is utilized to predict dynamic temperature distributions generated and altered by the therapeutic heating modality, tissue energy storage and dissipation, and blood flow. Implementation of biothermal modeling in the planning, monitoring, control and evaluation of MR guided Focused Ultrasound (MRgFUS) therapies can help to minimize treatment time, maximize efficacy, and ensure the safety of healthy normal tissues, while increasing clinical confidence in MRgFUS treatments. Fast calculations of thermal doses can support in planning, conduction, and monitoring of such treatments. In the current study a GPU-based method in Matlab is proposed, for fast calculations of the temperature and cumulative equivalent minutes at 43° (CEM 43°) based on the bioheat equation. The performance of our proposed method was assessed with three GPUs (GTX 750, GTX 770 and Tesla C2050) for five grid sizes. The maximum speedup was achieved with the Tesla C2050 (~29) while GTX 750 demonstrated the lower performance (~15).

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Authors and Affiliations

  1. Department of Physics, Florida Atlantic University, 777 Glades Rd, Boca Raton, FL, 33431, USA

    Georgios Kalantzis

  2. Department of Physics, Florida Atlantic University, Boca Raton, FL, 33431, USA

    Warner Miller & Wolfgang Tichy

  3. University MRI & Diagnostic Imaging Centers, Boca Raton, FL, 33431, USA

    Suzanne LeBlang

Authors
  1. Georgios Kalantzis
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  2. Warner Miller
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  3. Wolfgang Tichy
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  4. Suzanne LeBlang
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Correspondence to Georgios Kalantzis .

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Editors and Affiliations

  1. Software Engineering & Information, Central Michigan University, MOUNT PLEASANT, USA

    Roger Lee

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© 2016 Springer International Publishing Switzerland

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Kalantzis, G., Miller, W., Tichy, W., LeBlang, S. (2016). A GPU Accelerated Finite Differences Method of the Bioheat Transfer Equation for Ultrasound Thermal Ablation. In: Lee, R. (eds) Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. Studies in Computational Intelligence, vol 653. Springer, Cham. https://doi.org/10.1007/978-3-319-33810-1_4

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  • DOI: https://doi.org/10.1007/978-3-319-33810-1_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33809-5

  • Online ISBN: 978-3-319-33810-1

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