Independent measurement of femoral cortical thickness and cortical bone density using clinical CT

The local structure of the proximal femoral cortex is of interest since both fracture risk, and the effects of various interventions aimed at reducing that risk, are associated with cortical properties focused in particular regions rather than dispersed over the whole bone. Much of the femoral cortex is less than 3mm thick, appearing so blurred in clinical CT that its actual density is not apparent in the data, and neither thresholding nor full-width half-maximum techniques are capable of determining its width. Our previous work on cortical bone mapping showed how to produce more accurate estimates of cortical thickness by assuming a fixed value of the cortical density for each hip. However, although cortical density varies much less over the proximal femur than thickness, what little variation there is leads to errors in thickness measurement. In this paper, we develop the cortical bone mapping technique by exploiting local estimates of imaging blur to correct the global density estimate, thus providing a local density estimate as well as more accurate estimates of thickness. We also consider measurement of cortical mass surface density and the density of trabecular bone immediately adjacent to the cortex. Performance is assessed with ex vivo clinical QCT scans of proximal femurs, with true values derived from high resolution HRpQCT scans of the same bones. We demonstrate superior estimation of thickness than is possible with alternative techniques (accuracy 0.12 ± 0.39 mm for cortices in the range 1-3mm), and that local cortical density estimation is feasible for densities >800 mg/cm(3).

[1]  J. Pasco,et al.  Half the burden of fragility fractures in the community occur in women without osteoporosis. When is fracture prevention cost-effective? , 2006, Bone.

[2]  K. Choi [Hip fracture]. , 1963, [Chapchi] Journal. Taehan Oekwa Hakhoe.

[3]  Peter Varga,et al.  HR-pQCT-based homogenised finite element models provide quantitative predictions of experimental vertebral body stiffness and strength with the same accuracy as μFE models , 2012, Computer methods in biomechanics and biomedical engineering.

[4]  F. Kainberger,et al.  DXA predictions of human femoral mechanical properties depend on the load configuration. , 2013, Medical engineering & physics.

[5]  G. Holzer,et al.  Hip Fractures and the Contribution of Cortical Versus Trabecular Bone to Femoral Neck Strength , 2009, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[6]  F. Boas,et al.  CT artifacts: Causes and reduction techniques , 2012 .

[7]  W. Kalender,et al.  Accuracy limits for the determination of cortical width and density: the influence of object size and CT imaging parameters. , 1999, Physics in medicine and biology.

[8]  Steven K Boyd,et al.  Automatic segmentation of cortical and trabecular compartments based on a dual threshold technique for in vivo micro-CT bone analysis. , 2007, Bone.

[9]  Andrew H. Gee,et al.  Cortical Thickness Mapping to Identify Focal Osteoporosis in Patients with Hip Fracture , 2012, PloS one.

[10]  P. Cripton,et al.  During sideways falls proximal femur fractures initiate in the superolateral cortex: evidence from high-speed video of simulated fractures. , 2009, Journal of biomechanics.

[11]  F. Kainberger,et al.  A nonlinear QCT-based finite element model validation study for the human femur tested in two configurations in vitro. , 2013, Bone.

[12]  C. Thomas,et al.  Relation between age, femoral neck cortical stability, and hip fracture risk , 2005, The Lancet.

[13]  R. Huiskes,et al.  Load distribution in the healthy and osteoporotic human proximal femur during a fall to the side. , 2008, Bone.

[14]  Normand Robert,et al.  Generalized method for computation of true thickness and x-ray intensity information in highly blurred sub-millimeter bone features in clinical CT images , 2012, Physics in medicine and biology.

[15]  Andrew H. Gee,et al.  Regularised marching tetrahedra: improved iso-surface extraction , 1999, Comput. Graph..

[16]  T N Hangartner,et al.  Thresholding technique for accurate analysis of density and geometry in QCT, pQCT and microCT images. , 2007, Journal of musculoskeletal & neuronal interactions.

[17]  Andrew H. Gee,et al.  Systematic misregistration and the statistical analysis of surface data , 2014, Medical Image Anal..

[18]  Normand Robert,et al.  Model-based PSF and MTF estimation and validation from skeletal clinical CT images. , 2013, Medical physics.

[19]  Andrew H. Gee,et al.  High resolution cortical bone thickness measurement from clinical CT data , 2010, Medical Image Anal..

[20]  G. Dougherty,et al.  Measurement of thickness and density of thin structures by computed tomography: a simulation study. , 1999, Medical physics.

[21]  Andrew H. Gee,et al.  Imaging the femoral cortex: Thickness, density and mass from clinical CT , 2012, Medical Image Anal..

[22]  Gerard R. Ridgway,et al.  Targeted Regeneration of Bone in the Osteoporotic Human Femur , 2011, PloS one.

[23]  Marion Kee,et al.  Analysis , 2004, Machine Translation.

[24]  Ara Nazarian,et al.  Specimen size and porosity can introduce error into microCT-based tissue mineral density measurements. , 2009, Bone.

[25]  Jacob J. Bloomberg,et al.  Spatial Heterogeneity in the Response of the Proximal Femur to Two Lower‐Body Resistance Exercise Regimens , 2014, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[26]  T. Hangartner,et al.  Evaluation of cortical bone by computed tomography , 1996, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[27]  J. A. Kanis,et al.  European guidance for the diagnosis and management of osteoporosis in postmenopausal women , 2013, Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA.

[28]  H. Genant,et al.  Accuracy of CT-based thickness measurement of thin structures: modeling of limited spatial resolution in all three dimensions. , 2002, Medical physics.

[29]  J. Reeve,et al.  Changing structure of the femoral neck across the adult female lifespan , 2010, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[30]  S. Cummings,et al.  Prediction of Incident Hip Fracture Risk by Femur Geometry Variables Measured by Hip Structural Analysis in the Study of Osteoporotic Fractures , 2008, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[31]  A. Silman,et al.  Predictive Value of BMD for Hip and Other Fractures , 2005, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.