IDEAS home Printed from https://ideas.repec.org/a/taf/gcmbxx/v15y2012i7p771-778.html
   My bibliography  Save this article

Patient-specific modelling of pulmonary airflow using GPU cluster for the application in medical practice

Author

Listed:
  • T. Miki
  • X. Wang
  • T. Aoki
  • Y. Imai
  • T. Ishikawa
  • K. Takase
  • T. Yamaguchi

Abstract

In this paper, we propose a novel patient-specific method of modelling pulmonary airflow using graphics processing unit (GPU) computation that can be applied in medical practice. To overcome the barriers imposed by computation speed, installation price and footprint to the application of computational fluid dynamics, we focused on GPU computation and the lattice Boltzmann method (LBM). The GPU computation and LBM are compatible due to the characteristics of the GPU. As the optimisation of data access is essential for the performance of the GPU computation, we developed an adaptive meshing method, in which an airway model is covered by isotropic subdomains consisting of a uniform Cartesian mesh. We found that 43 size subdomains gave the best performance. The code was also tested on a small GPU cluster to confirm its performance and applicability, as the price and footprint are reasonable for medical applications.

Suggested Citation

  • T. Miki & X. Wang & T. Aoki & Y. Imai & T. Ishikawa & K. Takase & T. Yamaguchi, 2012. "Patient-specific modelling of pulmonary airflow using GPU cluster for the application in medical practice," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 15(7), pages 771-778.
    • Handle: RePEc:taf:gcmbxx:v:15:y:2012:i:7:p:771-778
    DOI: 10.1080/10255842.2011.560842
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10255842.2011.560842
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/10255842.2011.560842?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:gcmbxx:v:15:y:2012:i:7:p:771-778. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/gcmb .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.