Comprehensive evaluation of PCA-based finite element modelling of the human femur.
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Marco Viceconti | Fulvia Taddei | Christelle Boichon | Lorenzo Grassi | Enrico Schileo | M. Viceconti | F. Taddei | E. Schileo | C. Boichon | L. Grassi
[1] Marco Viceconti,et al. Subject-specific finite element models implementing a maximum principal strain criterion are able to estimate failure risk and fracture location on human femurs tested in vitro. , 2008, Journal of biomechanics.
[2] Prasanth B. Nair,et al. Statistical modelling of the whole human femur incorporating geometric and material properties. , 2010, Medical engineering & physics.
[3] Alejandro F. Frangi,et al. A Statistical Model of Shape and Bone Mineral Density Distribution of the Proximal Femur for Fracture Risk Assessment , 2011, MICCAI.
[4] Prasanth B. Nair,et al. Use of a statistical model of the whole femur in a large scale, multi-model study of femoral neck fracture risk. , 2009, Journal of biomechanics.
[5] Nadia Magnenat-Thalmann,et al. MRI Bone Segmentation Using Deformable Models and Shape Priors , 2008, MICCAI.
[6] Daniel Rueckert,et al. Statistical Finite Element Model for Bone Shape and Biomechanical Properties , 2006, MICCAI.
[7] T. Keaveny,et al. Trabecular bone modulus-density relationships depend on anatomic site. , 2003, Journal of biomechanics.
[8] W. Taylor,et al. Physiologically based boundary conditions in finite element modelling. , 2007, Journal of biomechanics.
[9] Travis D. Eliason,et al. Statistical shape modeling describes variation in tibia and femur surface geometry between Control and Incidence groups from the osteoarthritis initiative database. , 2010, Journal of biomechanics.
[10] H. Skinner,et al. Effect of force direction on femoral fracture load for two types of loading conditions , 2001, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.
[11] Fabio Baruffaldi,et al. Specialised CT scan protocols for 3-D pre-operative planning of total hip replacement. , 2004, Medical engineering & physics.
[12] Kozo Nakamura,et al. Prediction of proximal femur strength using a CT-based nonlinear finite element method: differences in predicted fracture load and site with changing load and boundary conditions. , 2009, Bone.
[13] W. Kalender,et al. The European Spine Phantom--a tool for standardization and quality control in spinal bone mineral measurements by DXA and QCT. , 1995, European journal of radiology.
[14] J. Jurvelin,et al. Assessment of the 3-D shape and mechanics of the proximal femur using a shape template and a bone mineral density image , 2011, Biomechanics and modeling in mechanobiology.
[15] Nils Reimers,et al. Optimisation of orthopaedic implant design using statistical shape space analysis based on level sets , 2010, Medical Image Anal..
[16] J. Jurvelin,et al. Estimation of 3D shape, internal density and mechanics of proximal femur by combining bone mineral density images with shape and density templates , 2012, Biomechanics and modeling in mechanobiology.
[17] Kozo Nakamura,et al. Prediction of strength and strain of the proximal femur by a CT-based finite element method. , 2007, Journal of biomechanics.
[18] Agnes Grünerbl,et al. 3D image segmentation using combined shape-intensity prior models , 2007, International Journal of Computer Assisted Radiology and Surgery.
[19] Marco Viceconti,et al. Evaluation of the generality and accuracy of a new mesh morphing procedure for the human femur. , 2011, Medical engineering & physics.
[20] Timothy F. Cootes,et al. Training Models of Shape from Sets of Examples , 1992, BMVC.
[21] F. Eckstein,et al. Assessment of the individual fracture risk of the proximal femur by using statistical appearance models. , 2010, Medical physics.
[22] J. Keyak,et al. Generation of a 3D proximal femur shape from a single projection 2D radiographic image , 2009, Osteoporosis International.
[23] Paul J. Rullkoetter,et al. Development of subject-specific and statistical shape models of the knee using an efficient segmentation and mesh-morphing approach , 2010, Comput. Methods Programs Biomed..
[24] P. Noble,et al. A comparison of alternative methods of measuring femoral anteversion. , 1998, Journal of computer assisted tomography.
[25] Zohar Yosibash,et al. Patient-specific finite element analysis of the human femur--a double-blinded biomechanical validation. , 2011, Journal of biomechanics.
[26] Christopher J. Taylor,et al. Statistical models of shape - optimisation and evaluation , 2008 .
[27] Marco Viceconti,et al. Subject-specific finite element models can accurately predict strain levels in long bones. , 2007, Journal of biomechanics.
[28] H. Tullos,et al. The effect of aging on the shape of the proximal femur. , 1995, Clinical orthopaedics and related research.
[29] Alberto Leardini,et al. Multimod Data Manager: A tool for data fusion , 2007, Comput. Methods Programs Biomed..
[30] Timothy F. Cootes,et al. Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..
[31] W. Skalli,et al. Semi-automated stereoradiographic upper limb 3D reconstructions using a combined parametric and statistical model: a preliminary study , 2012, Surgical and Radiologic Anatomy.
[32] M Taylor,et al. Determination of suitable sample sizes for multi-patient based finite element studies. , 2007, Medical engineering & physics.
[33] Marco Viceconti,et al. An accurate estimation of bone density improves the accuracy of subject-specific finite element models. , 2008, Journal of biomechanics.
[34] Zohar Yosibash,et al. Validation of subject-specific automated p-FE analysis of the proximal femur. , 2009, Journal of biomechanics.
[35] M. Viceconti,et al. The material mapping strategy influences the accuracy of CT-based finite element models of bones: an evaluation against experimental measurements. , 2007, Medical engineering & physics.