Volume-Based Fabric Tensors through Lattice-Boltzmann Simulations
2014 (English)Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
IEEE Computer Society, 2014. 3179-3184 p.
, International Conference on Pattern Recognition, ISSN 1051-4651
Fabric tensors, trabecular bone, computational fluid dynamics, lattice-Boltzmann method, tortuosity
Medical Image Processing
IdentifiersURN: urn:nbn:se:liu:diva-110037DOI: 10.1109/ICPR.2014.548ScopusID: 2-s2.0-84919897604OAI: oai:DiVA.org:liu-110037DiVA: diva2:742382
22nd International Conference on Pattern Recognition (ICPR), 24-28 August 2014, Stockholm, Sweden
FunderSwedish Research Council, 2011-5197Swedish Research Council, 2012-3512Swedish Heart Lung Foundation, 2011-0376