Assessment of Transverse Isotropy in Clinical-Level CT Images of Trabecular Bone Using the Gradient Structure Tensor

被引:28
作者
Larsson, David [1 ]
Luisier, Benoit [1 ]
Kersh, Mariana E. [2 ]
Dall'Ara, Enrico [1 ]
Zysset, Philippe K. [3 ]
Pandy, Marcus G. [2 ]
Pahr, Dieter H. [1 ]
机构
[1] Vienna Univ Technol, Inst Lightweight Design & Struct Biomech, A-1040 Vienna, Austria
[2] Univ Melbourne, Dept Mech Engn, Parkville, Vic 3010, Australia
[3] Univ Bern, Inst Surg Technol & Biomech, CH-3014 Bern, Switzerland
关键词
Human proximal femur; Structural anisotropy; Clinical-level quantitative computed tomography; Fabric tensors; Degree of transverse isotropy; MEAN INTERCEPT LENGTH; FINITE-ELEMENT MODELS; SEGMENTATION METHOD; 3D SLICER; ANISOTROPY; AUTOCORRELATION; ORIENTATION; SIMULATION; PLATFORM; QCT;
D O I
10.1007/s10439-014-0983-y
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The aim of this study was to develop a GST-based methodology for accurately measuring the degree of transverse isotropy in trabecular bone. Using femoral sub-regions scanned in high-resolution peripheral QCT (HR-pQCT) and clinical-level-resolution QCT, trabecular orientation was evaluated using the mean intercept length (MIL) and the gradient structure tensor (GST) on the HR-pQCT and QCT data, respectively. The influence of local degree of transverse isotropy (DTI) and bone mineral density (BMD) was incorporated into the investigation. In addition, a power based model was derived, rendering a 1:1 relationship between GST and MIL eigenvalues. A specific DTI threshold (DTI (thres)) was found for each investigated size of region of interest (ROI), above which the estimate of major trabecular direction of the GST deviated no more than 30A degrees from the gold standard MIL in 95% of the remaining ROIs (mean error: 16A degrees). An inverse relationship between ROI size and DTI (thres) was found for discrete ranges of BMD. A novel methodology has been developed, where transversal isotropic measures of trabecular bone can be obtained from clinical QCT images for a given ROI size, DTI (thres) and power coefficient. Including DTI may improve future clinical QCT finite-element predictions of bone strength and diagnoses of bone disease.
引用
收藏
页码:950 / 959
页数:10
相关论文
共 38 条
  • [1] Patient-specific bone modelling and remodelling simulation of hypoparathyroidism based on human iliac crest biopsies
    Christen, Patrik
    Ito, Keita
    Mueller, Ralph
    Rubin, Mishaela R.
    Dempster, David W.
    Bilezikian, John P.
    van Rietbergen, Bert
    [J]. JOURNAL OF BIOMECHANICS, 2012, 45 (14) : 2411 - 2416
  • [2] CHRISTIANSEN C, 1991, AM J MED, V90, P107
  • [3] Femoral strength is better predicted by finite element models than QCT and DXA
    Cody, DD
    Gross, GJ
    Hou, FJ
    Spencer, HJ
    Goldstein, SA
    Fyhrie, DP
    [J]. JOURNAL OF BIOMECHANICS, 1999, 32 (10) : 1013 - 1020
  • [4] Cosmi F, 2009, ACTA BIOENG BIOMECH, V11, P3
  • [5] THE RELATIONSHIP BETWEEN THE ELASTICITY TENSOR AND THE FABRIC TENSOR
    COWIN, SC
    [J]. MECHANICS OF MATERIALS, 1985, 4 (02) : 137 - 147
  • [6] A nonlinear QCT-based finite element model validation study for the human femur tested in two configurations in vitro
    Dall'Ara, E.
    Luisier, B.
    Schmidt, R.
    Kainberger, F.
    Zysset, P.
    Pahr, D.
    [J]. BONE, 2013, 52 (01) : 27 - 38
  • [7] Robust QCT/FEA Models of Proximal Femur Stiffness and Fracture Load During a Sideways Fall on the Hip
    Dragomir-Daescu, Dan
    Den Buijs, Jorn Op
    McEligot, Sean
    Dai, Yifei
    Entwistle, Rachel C.
    Salas, Christina
    Melton, L. Joseph, III
    Bennet, Kevin E.
    Khosla, Sundeep
    Amin, Shreyasee
    [J]. ANNALS OF BIOMEDICAL ENGINEERING, 2011, 39 (02) : 742 - 755
  • [8] 3D Slicer as an image computing platform for the Quantitative Imaging Network
    Fedorov, Andriy
    Beichel, Reinhard
    Kalpathy-Cramer, Jayashree
    Finet, Julien
    Fillion-Robin, Jean-Christophe
    Pujol, Sonia
    Bauer, Christian
    Jennings, Dominique
    Fennessy, Fiona
    Sonka, Milan
    Buatti, John
    Aylward, Stephen
    Miller, James V.
    Pieper, Steve
    Kikinis, Ron
    [J]. MAGNETIC RESONANCE IMAGING, 2012, 30 (09) : 1323 - 1341
  • [9] Spatial orientation in bone samples and Young's modulus
    Geraets, W. G. M.
    van Ruijven, L. J.
    Verheij, J. G. C.
    van der Stelt, P. F.
    van Eijden, T. M. G. J.
    [J]. JOURNAL OF BIOMECHANICS, 2008, 41 (10) : 2206 - 2210
  • [10] CHARACTERIZATION OF MICROSTRUCTURAL ANISOTROPY IN ORTHOTROPIC MATERIALS USING A 2ND RANK TENSOR
    HARRIGAN, TP
    MANN, RW
    [J]. JOURNAL OF MATERIALS SCIENCE, 1984, 19 (03) : 761 - 767