Parametrized statistical appearance and shape modelling strategy to predict proximal and diaphyseal femoral fractures
Therefore, this novel parametric femur model can predict fracture loading while directly incorporating the influence of changing patient anthropometry. In the future, the model could support the development of orthopedic devices tailored to specific patient anthropometries to help mitigate femoral fractures.
Authors
- Özgür Cebeci (ORCID: https://orcid.org/0009-0006-7363-3070)
- Sara Checa (ORCID: https://orcid.org/0000-0002-1444-5858)
- Duane S. Cronin (ORCID: https://orcid.org/0000-0001-7538-0560)
Institutions
- University of Waterloo (CA)
- Universität Hamburg (DE)
- G.E.O.S. Ingenieurgesellschaft (Germany) (DE)
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE)
- Hamburg University of Technology (DE)
Publication Details
- Journal
- Frontiers in Bioengineering and Biotechnology
- Published
- 2025-11-03
- DOI
- https://doi.org/10.3389/fbioe.2025.1693678
- Primary Topic
- Bone health and osteoporosis research
- Type
- article
- Field-Weighted Citation Impact
- 0.00