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
Link To Document :
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