Multivariable statistical classification of 3D bone microarchitecture using morphological and mechanical features
- Resource Type
- Conference
- Authors
- Jennane, Rachid; Aufort, Gabriel; Lheritier, Hugo; Benhamou, Claude Laurent
- Source
- 2009 17th European Signal Processing Conference Signal Processing Conference, 2009 17th European. :1557-1561 Aug, 2009
- Subject
- Signal Processing and Analysis
TV
Abstracts
Media
Iron
Bones
Minerals
Computational modeling
- Language
Evaluating trabecular bone microarchitecture is not possible in the clinical routine nowadays. Based on simplified skeleton and Finite Element models, we have developed different image processing and simulation techniques to investigate bone microarchitecture and its mechanical stiffness. This work defines improved models for 3D bone architecture that generates multiple features. These parameters can be combined in a statistical discriminant analysis in order to study bone diseases such as osteoporosis. A clinical study is led on 2 populations of arthritic and osteoporotic bone samples. The results show the ability of our improved techniques to discriminate the 2 populations.