Dr Ju Zhang

BE(Hons) PhD

Honorary Academic

Biography

Ju graduated from the University of Auckland with a Bachelor of Engineering (Honours) specialising in Biomedical Engineering in 2009 and went on to complete his PhD in Bioengineering in 2013. Supervised by Professor Poul Nielsen, Ju's doctoral research focused on the development of statistically-based computational methods for characterising the natural variations of femur morphology, as presented in CT images.

On attaining his PhD, Ju returned to the ABI as a postdoctoral research fellow.

Research | Current

Ju is continuing his work in statistical shape modelling and image analysis on other organs, particularly in the lower limbs. In addition, he is making his computational methods publicly available through the FDA-funded Musculoskeletal Atlas Project.

Current projects

Musculoskeletal Atlas Project
Virtual Clinical Trials Project
Statistical shape modelling of the pelvis and spine

Research interests

Statistical shape modelling
medical image analysis
3-D geometric modelling
Orthopaedic applications of population models

Selected publications and creative works (Research Outputs)

Liley, H., Zhang, J., Firth, E., Fernandez, J., & Besier, T. (2017). Using partial least squares regression as a predictive tool in describing equine third metacarpal bone shape. Computer methods in biomechanics and biomedical engineering, 1-4. 10.1080/10255842.2017.1393806
Other University of Auckland co-authors: Justin Fernandez, Elwyn Firth, Thor Besier
Zhang, J., & Besier, T. F. (2017). Accuracy of femur reconstruction from sparse geometric data using a statistical shape model. Computer methods in biomechanics and biomedical engineering, 20 (5), 566-576. 10.1080/10255842.2016.1263301
Other University of Auckland co-authors: Thor Besier
Xu, C., Silder, A., Zhang, J., Reifman, J., & Unnikrishnan, G. (2017). A cross-sectional study of the effects of load carriage on running characteristics and tibial mechanical stress: implications for stress-fracture injuries in women. BMC musculoskeletal disorders, 18 (1)10.1186/s12891-017-1481-9
Sartori, M., Fernandez, J. W., Modenese, L., Carty, C. P., Barber, L. A., Oberhofer, K., ... Besier, T. F. (2017). Toward modeling locomotion using electromyography-informed 3D models: application to cerebral palsy. Wiley Interdisciplinary Reviews: Systems Biology and Medicine, 9 (2)10.1002/wsbm.1368
URL: http://hdl.handle.net/2292/32892
Other University of Auckland co-authors: Justin Fernandez, Ngaire Stott, Thor Besier, Geoffrey Handsfield
Zhang, J., Fernandez, J., Hislop-Jambrich, J., & Besier, T. F. (2016). Lower limb estimation from sparse landmarks using an articulated shape model. Journal of Biomechanics, 49 (16), 3875-3881. 10.1016/j.jbiomech.2016.10.021
URL: http://hdl.handle.net/2292/31517
Other University of Auckland co-authors: Justin Fernandez, Thor Besier
Qasim, M., Farinella, G., Zhang, J., Li, X., Yang, L., Eastell, R., & Viceconti, M. (2016). Patient-specific finite element estimated femur strength as a predictor of the risk of hip fracture: the effect of methodological determinants. Osteoporosis International, 27 (9), 2815-2822. 10.1007/s00198-016-3597-4
URL: http://hdl.handle.net/2292/30785
Xu, C., Silder, A., Zhang, J., Hughes, J., Unnikrishnan, G., Reifman, J., & Rakesh, V. (2016). An Integrated Musculoskeletal-Finite-Element Model to Evaluate Effects of Load Carriage on the Tibia During Walking. Journal of Biomechanical Engineering, 138 (10), 101001-101001. 10.1115/1.4034216
Zhang, J., Hislop-Jambrich, J., & Besier, T. F. (2016). Predictive statistical models of baseline variations in 3-D femoral cortex morphology. Medical Engineering & Physics, 38 (5), 450-457. 10.1016/j.medengphy.2016.02.003
URL: http://hdl.handle.net/2292/28768
Other University of Auckland co-authors: Thor Besier