Population-Based Bone Strain During Physical Activity: A Novel Method Demonstrated for the Human Femur-Reference-Cited by-同舟云学术

Population-Based Bone Strain During Physical Activity: A Novel Method Demonstrated for the Human Femur

Published:2020-02-26 Issue:6 Volume:48 Page:1694-1701
ISSN:0090-6964
Container-title:Annals of Biomedical Engineering
language:en
Short-container-title:Ann Biomed Eng

Author:

Ziaeipoor Hamed,Taylor Mark,Martelli Saulo^ORCID

Funder

Australian Research Council

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s10439-020-02483-3.pdf

Reference32 articles.

1. Al-Dirini, R. M. A., S. Martelli, D. O’Rourke, D. Huff, J. Zhang, J. G. Clement, T. Besier, and M. Taylor. Virtual trial to evaluate the robustness of cementless femoral stems to patient and surgical variation. J. Biomech. 82:346–356, 2019.

2. Al-Dirini, R. M. A., J. Nisyrios, M. P. Reed, and D. Thewlis. Quantifying the in vivo quasi-static response to loading of sub-dermal tissues in the human buttock using magnetic resonance imaging. Clin. Biomech. 50:70–77, 2017.

3. Bah, M. T., J. Shi, M. Browne, Y. Suchier, F. Lefebvre, P. Young, L. King, D. G. Dunlop, and M. O. Heller. Exploring inter-subject anatomic variability using a population of patient-specific femurs and a statistical shape and intensity model. Med. Eng. Phys. 37:995–1007, 2015.

4. Bonaretti, S., C. Seiler, C. Boichon, M. Reyes, and P. Büchler. Image-based vs. mesh-based statistical appearance models of the human femur: implications for finite element simulations. Med. Eng. Phys. 36:1626–1635, 2014.

5. Bryan, R. Large scale, multi femur computational stress analysis using a statistical shape and intensity model. Doctoral Thesis, University of Southampton, 2010.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Real-time replication of three-dimensional and time-varying physiological loading cycles for bone and implant testing: A novel protocol demonstrated for the proximal human femur while walking;Journal of the Mechanical Behavior of Biomedical Materials;2021-12

2. Machine learning methods to support personalized neuromusculoskeletal modelling;Biomechanics and Modeling in Mechanobiology;2020-07-16