• DocumentCode
    178480
  • Title

    Volume-Based Fabric Tensors through Lattice-Boltzmann Simulations

  • Author

    Moreno, R. ; Smedby, O.

  • Author_Institution
    Dept. of Med. & Health Sci. (IMH), Linkoping Univ., Linkoping, Sweden
  • fYear
    2014
  • fDate
    24-28 Aug. 2014
  • Firstpage
    3179
  • Lastpage
    3184
  • Abstract
    This paper introduces a new methodology to compute fabric tensors from computational fluid dynamics simulations performed through the lattice-Boltzmann method. Trabecular bone is modeled as a pipeline where a synthetic viscous fluid can flow from a single source located at the center of a spherical region of interest toward its boundaries. Two fabric tensors are computed from local velocities at the steady state estimated from the simulations, a tortuosity and a normalized tortuosity tensor. The main advantage of the proposed fabric tensors is that, unlike previous approaches, they intentionally disregard the trabecular termini in the computations, which do not play an important role in the estimation of trabecular bone quality. Thus, the proposed fabric tensors are less prone than previously proposed ones to unnecessary reductions of anisotropy related to the the presence of trabecular termini. The results of experiments conducted on synthetic and micro-computed tomography data in 2D and 3D show the artificial fluid flowing inside the trabecular bone has negligible velocities at trabecular termini, reducing in that way their influence in the estimation of the proposed fabric tensors.
  • Keywords
    bone; computerised tomography; lattice Boltzmann methods; medical image processing; pipe flow; state estimation; anisotropy reductions; artificial fluid flow; computational fluid dynamics simulations; lattice-Boltzmann simulations; microcomputed tomography data; normalized tortuosity tensor; steady state estimation; synthetic viscous fluid; trabecular bone; trabecular termini; volume-based fabric tensors; Anisotropic magnetoresistance; Bones; Computational fluid dynamics; Computational modeling; Estimation; Fabrics; Tensile stress; Fabric tensors; computational fluid dynamics; lattice-Boltzmann method; tortuosity; trabecular bone;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2014 22nd International Conference on
  • Conference_Location
    Stockholm
  • ISSN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2014.548
  • Filename
    6977260