Dr Thiranja Prasad Babarenda Gamage
BE(Hons) PhD Auck.
Thiranja Prasad Babarenda Gamage received a Bachelor of Biomedical Engineering with Honours from the Department of Engineering Science at the University of Auckland in 2008. In 2016, he completed a PhD at the Auckland Bioengineering Institute on Constitutive parameter identifiability and the design of experiments for applications in breast biomechanics under the supervision of Prof. Poul Nielsen and Prof. Martyn Nash. He is currently a postdoctoral research fellow at ABI, and a principal investigator in the Biomechanics for Breast Imaging research group.
Research | Current
Biomechanics for breast cancer imaging
Addressing clinical challenges involved in diagnosing and treating breast cancer by melding biomechanics, state-of-the-art image processing techniques, and population based statistical analysis. My work has led to the development of a clinical workflow that automatically builds personalised biomechanical models of the breast from diagnostic medical images, and predicts breast tissue motion during breast cancer diagnosis and treatment procedures. We are now trailing this workflow at Auckland City Hospital. Learn more about this research at the ABI's Biomechanics for Breast Imaging group project page.
Developing automated computational modelling worflows for predicting patient-specific cardiac mechanics to identify novel biomarkers for early detection of diseases such as heart failure. Learn more about this research on the ABI Cardiac mechanics project page.
Understanding the passive and active behaviour of cardiac muscles using computational models paired with rich experimental data from ABI's novel cardiac instrumentation devices.
Parameter estimation, design of experiments, and uncertainty quantification
Creating and validating frameworks for identifying the mechanical properties of soft tissues using noninvasive methods. The models are complemented with novel instrumentation and imaging techniques that we are currently developing in the ABI Bioinstrumentation Laboratory to create rich experimental datasets that can maximise identifiability of the mechanical properties.
Developing novel real-time full-field stereoscopic imaging systems for tracking lung surface deformation during ventilation. The rich experimental data obatined from these imaging systems provides the information required for quantifying the stress-strain behaviour of alveoli during early maturity and senescence.
Developing multi-scale computational models of the lung that use this novel experimental data to better understand the mechanisms behind decline in lung function with aging. These models will help guide the development of new diagnostic methods to distinguish age related changes from lung disease.
Learn more about this research at the ABI's Lungs and Respiratory System project page.
Teaching | Current
BIOMENG 321 - Continuum Modelling in Bioengineering
Areas of expertise
construction of patient-specific biomechanical models
finite element analysis
soft tissue modelling
statistical shape analysis
medical image processing & registration
soft-tissue constitutive parameter estimation
design of experiments techniques
high performance computing software development
Selected publications and creative works (Research Outputs)
- Maso Talou, G. D., Babarenda Gamage, T. P., Sagar, M., & Nash, M. P. (2020). Deep Learning Over Reduced Intrinsic Domains for Efficient Mechanics of the Left Ventricle. Frontiers in Physics, 810.3389/fphy.2020.00030
Other University of Auckland co-authors: Gonzalo Maso Talou, Mark Sagar, Martyn Nash
- Wang, Z. J., Wang, V. Y., Babarenda Gamage, T. P., Rajagopal, V., Cao, J. J., Nielsen, P. M. F., ... Nash, M. P. (2020). Efficient estimation of load-free left ventricular geometry and passive myocardial properties using principal component analysis. International journal for numerical methods in biomedical engineering10.1002/cnm.3313
Other University of Auckland co-authors: Vijayaraghavan Rajagopal, Christopher Bradley, Vicky Wang, Poul Nielsen, Alistair Young, Martyn Nash
- Babarenda Gamage, T. P., Malcolm, D. T. K., Maso Talou, G., Mîra A, Doyle, A., Nielsen, P. M. F., & Nash, M. P. (2019). An automated computational biomechanics workflow for improving breast cancer diagnosis and treatment. Interface focus, 9 (4)10.1098/rsfs.2019.0034
Other University of Auckland co-authors: Martyn Nash, Anthony Doyle, Poul Nielsen, Gonzalo Maso Talou
- Parker, M. D., Babarenda Gamage, T. P., HajiRassouliha, A., Taberner, A. J., Nash, M. P., & Nielsen, P. M. F. (2019). Surface deformation tracking and modelling of soft materials. Biomechanics and modeling in mechanobiology, 18 (4), 1031-1045. 10.1007/s10237-019-01127-3
Other University of Auckland co-authors: Andrew Taberner, Poul Nielsen, Martyn Nash
- Babarenda Gamage, T. P., Rajagopal, V., Ehrgott, M., Nash, M. P., & Nielsen, P. M. F. (2011). Identification of mechanical properties of heterogeneous soft bodies using gravity loading. International Journal for Numerical Methods in Biomedical Engineering, 27 (3), 391-407. 10.1002/cnm.1429
Other University of Auckland co-authors: Martyn Nash, Vijayaraghavan Rajagopal, Poul Nielsen