A robust method for measuring trabecular bone orientation anisotropy at in vivo resolution using tensor scale

Abstract Trabecular bone (TB) is a network of interconnected struts and plates that constantly remodels to adapt dynamically to the stresses to which it is subjected in such a manner that the trabeculae are oriented along the major stress lines (Wolff's Law). Next to bone density, TB anisotropy has been found to be one of the most significant determinants of the bone's biomechanical behavior. Typically, orientational anisotropy of TB networks is expressed in terms of the fabric tensor, obtained by measuring the mean intercept length between structure elements along test lines. This method, however, can provide only a global statistical average of TB orientation anisotropy and, in general, requires a large sampling volume. Here, we present a new method, based on the recently conceived notion of “tensor scale”, which provides regional information of TB orientation anisotropy. Regional structure is represented by local best fit ellipsoid (ellipse in 2D) and the structural orientation is determined from the eigenvectors along the semi-axes. The method is found to be remarkably robust over a wide range of resolution regimes and image rotation as shown with micro-CT images from specimens of the human distal radius, the latter showing the characteristic differences in structural anisotropy for transverse and longitudinal sections. Finally, the method's applicability to in vivo MR imaging is demonstrated with data from the distal tibia.

[1]  David H. Eberly,et al.  Zoom-Invariant Vision of Figural Shape: The Mathematics of Cores , 1996, Comput. Vis. Image Underst..

[2]  É. Legrand,et al.  Trabecular Bone Microarchitecture, Bone Mineral Density, and Vertebral Fractures in Male Osteoporosis , 2000, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[3]  Bidyut Baran Chaudhuri,et al.  3D Digital Topology under Binary Transformation with Applications , 1996, Comput. Vis. Image Underst..

[4]  Milan Sonka,et al.  Image pre-processing , 1993 .

[5]  Tony Lindeberg,et al.  Scale-Space for Discrete Signals , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  R. Huiskes,et al.  Fabric and elastic principal directions of cancellous bone are closely related. , 1997, Journal of biomechanics.

[7]  A. Parfitt Implications of architecture for the pathogenesis and prevention of vertebral fracture. , 1992, Bone.

[8]  Jayaram K. Udupa,et al.  Scale-based diffusive image filtering preserving boundary sharpness and fine structures , 2001, IEEE Transactions on Medical Imaging.

[9]  Larry V McIntire,et al.  A technique for quantitative three-dimensional analysis of microvascular structure. , 2002, Microvascular research.

[10]  Scott N. Hwang,et al.  Probability-based structural parameters from three-dimensional nuclear magnetic resonance images as predictors of trabecular bone strength. , 1997, Medical physics.

[11]  Felix W. Wehrli,et al.  Estimating voxel volume fractions of trabecular bone on the basis of magnetic resonance images acquired in vivo , 1999, Int. J. Imaging Syst. Technol..

[12]  P. Carmeliet,et al.  Angiogenesis in cancer and other diseases , 2000, Nature.

[13]  J A Kanis,et al.  Trabecular architecture in women and men of similar bone mass with and without vertebral fracture: II. Three-dimensional histology. , 2000, Bone.

[14]  Dennis M. Black,et al.  Relationships between bone mineral density and incident vertebral fracture risk with raloxifene therapy , 2002 .

[15]  C. Gordon,et al.  Relation between image-based assessment of distal radius trabecular structure and compressive strength. , 1998, Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes.

[16]  Jayaram K. Udupa,et al.  Scale-Based Fuzzy Connected Image Segmentation: Theory, Algorithms, and Validation , 2000, Comput. Vis. Image Underst..

[17]  Milan Sonka,et al.  Image Processing, Analysis and Machine Vision , 1993, Springer US.

[18]  Jayaram K. Udupa,et al.  Tensor scale-based fuzzy connectedness image segmentation , 2003, SPIE Medical Imaging.

[19]  J. Koenderink The structure of images , 2004, Biological Cybernetics.

[20]  D. Chappard,et al.  Bone Microarchitecture and Bone Fragility in Men: DXA and Histomorphometry in Humans and in the Orchidectomized Rat Model , 2001, Calcified Tissue International.

[21]  Punam K. Saha Novel theory and methods for tensor scale: a local morphometric parameter , 2003, SPIE Medical Imaging.

[22]  Punam K. Saha,et al.  Three-dimensional digital topological characterization of cancellous bone architecture , 2000, Int. J. Imaging Syst. Technol..

[23]  E. Dubois,et al.  Digital picture processing , 1985, Proceedings of the IEEE.

[24]  Jayaram K. Udupa,et al.  Tensor scale-based image registration , 2003, SPIE Medical Imaging.

[25]  Steven A. Goldstein,et al.  Measurement and significance of three-dimensional architecture to the mechanical integrity of trabecular bone , 2005, Calcified Tissue International.

[26]  G. Herman,et al.  3D Imaging In Medicine , 1991 .

[27]  Punam K Saha,et al.  Topology-based orientation analysis of trabecular bone networks. , 2003, Medical physics.

[28]  A. Wright,et al.  Role of Magnetic Resonance for Assessing Structure and Function of Trabecular Bone , 2002, Topics in magnetic resonance imaging : TMRI.

[29]  Ernest L. Hall,et al.  Computer Image Processing and Recognition , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[30]  J. Wolff Das Gesetz der Transformation der Knochen , 1893 .

[31]  H. Song,et al.  In vivo micro‐imaging using alternating navigator echoes with applications to cancellous bone structural analysis , 1999, Magnetic resonance in medicine.

[32]  D. Kiel,et al.  A randomized trial of nasal spray salmon calcitonin in postmenopausal women with established osteoporosis: the prevent recurrence of osteoporotic fractures study. PROOF Study Group. , 2000, The American journal of medicine.

[33]  Refractor Vision , 2000, The Lancet.

[34]  Andrew P. Witkin,et al.  Scale-Space Filtering , 1983, IJCAI.

[35]  Steven D. Kugelmass,et al.  Quantitative analysis of trabecular microstructure by 400 MHz nuclear magnetic resonance imaging , 1995, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[36]  Thomas S. Huang,et al.  Image processing , 1971 .