Online citations, reference lists, and bibliographies.
← Back to Search

A Statistical Model Of Shape And Bone Mineral Density Distribution Of The Proximal Femur For Fracture Risk Assessment

Tristan Whitmarsh, K. Fritscher, L. Humbert, L. Barquero, T. Roth, C. Kammerlander, M. Blauth, R. Schubert, A. Frangi
Published 2011 · Mathematics, Medicine, Computer Science

Cite This
Download PDF
Analyze on Scholarcy
This work presents a statistical model of both the shape and Bone Mineral Density (BMD) distribution of the proximal femur for fracture risk assessment. The shape and density model was built from a dataset of Quantitative Computed Tomography scans of fracture patients and a control group. Principal Component Analysis and Horn's parallel analysis were used to reduce the dimensionality of the shape and density model to the main modes of variation. The input data was then used to analyze the model parameters for the optimal separation between the fracture and control group. Feature selection using the Fisher criterion determined the parameters with the best class separation, which were used in Fisher Linear Discriminant Analysis to find the direction in the parameter space that best separates the fracture and control group. This resulted in a Fisher criterion value of 6.70, while analyzing the Dual-energy X-ray Absorptiometry derived femur neck areal BMD of the same subjects resulted in a Fisher criterion value of 0.98. This indicates that a fracture risk estimation approach based on the presented model might improve upon the current standard clinical practice.
This paper references
A phantom for standardization and quality control in peripheral bone measurements by PQCT and DXA
P. Ruegsegger (1993)
Assessment of the individual fracture risk of the proximal femur by using statistical appearance models.
B. Schuler (2010)
In vivo discrimination of hip fracture with quantitative computed tomography: Results from the prospective European Femur Fracture Study (EFFECT)
V. Bousson (2011)
A rationale and test for the number of factors in factor analysis
J. Horn (1965)
Quantitative computed tomography: Comparison of two calibration phantoms
Y. Fujii (2006)
Hip fracture risk estimation based on principal component analysis of QCT atlas: a preliminary study
Wenjun Li (2009)
Quantitative computed tomography: comparative study using different scanners with two calibration phantoms.
S. Suzuki (1991)
Analysis of hip geometry by clinical CT for the assessment of hip fracture risk in elderly Japanese women.
M. Ito (2010)
Universal standardization for dual X‐ray absorptiometry: Patient and phantom cross‐calibration results
H. Genant (1995)
Bilateral comparison of femoral bone density and hip axis length from single and fan beam DXA scans
K. Faulkner (2004)
Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging
X. Hu (2009)

This paper is referenced by
Generation of 3 D shape , density , cortical thickness and finite element mesh of proximal femur from a DXA image Väänänen
S. Väänänen (2015)
X-Ray Based Imaging Methods to Assess Bone Quality
Klaus Engelke (2014)
Modeling the shape and composition of the human body using dual energy X-ray absorptiometry images
J. Shepherd (2017)
Computational anatomy of the proximal humerus: An ex vivo high-resolution peripheral quantitative computed tomography study
L. Kamer (2016)
Image-based vs. mesh-based statistical appearance models of the human femur: implications for finite element simulations.
S. Bonaretti (2014)
Registration of 2D histological sections with 3D micro-CT datasets from small animal vertebrae and tibiae
O. Museyko (2015)
Proceedings of the 2016 Santa Fe Bone Symposium: New Concepts in the Management of Osteoporosis and Metabolic Bone Diseases.
E. Lewiecki (2017)
Fast Prediction of Femoral Biomechanics Using Supervised Machine Learning and Statistical Shape Modeling
E. Taghizadeh (2016)
Reliable landmarks for precise topographical analyses of pathological structural changes of the ovine tibial plateau in 2-D and 3-D subspaces
Tamás Oláh (2017)
Analytical bone calcium and bone ash from mature laying hens correlates to bone mineral content calculated from quantitative computed tomography scans.
C. Robison (2019)
3D reconstruction of the lumbar vertebrae from anteroposterior and lateral dual-energy X-ray absorptiometry
Tristan Whitmarsh (2013)
Perthes Disease Classification Using Shape and Appearance Modelling
Adrian K. Davison (2018)
Hip fracture discrimination from dual-energy X-ray absorptiometry by statistical model registration.
Tristan Whitmarsh (2012)
Statistical Shape and Appearance Models in Osteoporosis
Isaac Castro-Mateos (2014)
Structural patterns of the proximal femur in relation to age and hip fracture risk in women.
J. Carballido-Gamio (2013)
Associations between physical activity and bone structure in older adults: does the use of self-reported versus objective assessments of physical activity influence the relationship?
C.-A. Ng (2019)
Statistical Shape and Appearance Models for Bone Quality Assessment
P. Raudaschl (2017)
Accuracy of femur reconstruction from sparse geometric data using a statistical shape model
J. Zhang (2017)
Generation of 3D shape, density, cortical thickness and finite element mesh of proximal femur from a DXA image
S. Väänänen (2015)
Comprehensive evaluation of PCA-based finite element modelling of the human femur.
L. Grassi (2014)
Hip Fracture Discrimination Based on Statistical Multi-parametric Modeling (SMPM)
J. Carballido-Gamio (2019)
Influence of femoral external shape on internal architecture and fracture risk
C. C. Villette (2019)
Focal osteoporosis defects play a key role in hip fracture
K. Poole (2017)
Multiscale musculoskeletal modelling, data–model fusion and electromyography-informed modelling
J. Fernandez (2016)
Computational Anatomy in the Study of Bone Structure
J. Carballido-Gamio (2013)
Semantic Scholar Logo Some data provided by SemanticScholar