Dr Kelly Suzanne Burrowes
Kelly Burrowes graduated with a Bachelor of Engineering with First Class Honours, specialising in Chemical & Materials Engineering, from the University of Auckland in 2000. She completed her PhD in Bioengineering at the Auckland Bioengineering Institute in 2005. She was then awarded a post-doctoral fellowship, funded through the EPSRC UK at the Life Sciences Interface, to work within the Computational Biology Group at the University of Oxford. She then secured further research funding through the European Union's Seventh Framework Programme and built up a research team focussing on respiratory modelling with application to the obstructive lung diseases asthma and Chronic Obstructive Pulmonary Disease (COPD). She has a current NIH grant, awarded through the University of California San Diego, related to computational modelling of proton MRI techniques to measure lung function.
Research | Current
Since 2001, I have been involved in bioengineering research centered on creating patient-based computational models of the respiratory system. My initial work focused on developing models of the pulmonary circulation, and these models have been applied to investigate perfusion distribution and gas exchange during pulmonary embolism and to understand the limitations in magnetic resonance imaging (MRI) of pulmonary perfusion. More recently, my research has turned towards simulation of aspects of ventilation and forced expiration with particular application to understanding links between structure-function changes in the obstructive lung diseases of asthma and chronic obstructive pulmonary disease (COPD). My ongoing research goal is to develop efficient novel computational tools - combining mathematical and computational techniques with experimental, imaging and clinical studies - to provide an increased understanding of the pathophysiological mechanisms occurring in obstructive lung and pulmonary vascular diseases. My passion is for the application and translation of computational and image processing techniques to the clinical environment.
Specific active research collaborations include:
- simulating impedance and ventilation in the lung (with Drs Rafel Bordas (Oxford) and Salman Siddiqui (Leicester));
- predicting forced expiration pre- and post-clinical intervention (with Professors Tawhai (Auckland) and Brightling (Leicester) and Dr Kerry Hedges (Auckland));
- application of computational models to understanding the physiological assumption in proton MRI (with Professors Kim Prisk, Rick Buxton, Sue Hopkins (San Diego) and Robb Glenny (Washington));
- developing a multi-scale model of the airway (with Professor Rod Smallwood (Sheffield) and Dr Bindi Brook (Nottingham));
- application of hyperpolarised gas MR images to computational model parameterisation (with Prof Jim Wild (Sheffield), Dr Rafel Bordas (Oxford));
- investigating the impact of BMI on lung density measurements (with Professor Merryn Tawhai and Dr Alys Clark (Auckland));
- developing an educational web application for smoking-related disease and smoking cessation (with Professor Merryn Tawhai and Dr Richard Christie (Auckland)).
Amir Rastar (2015-). Computational models for image- and model-based biomarkers in asthma.
Luca Parisi (2015-). Developing and validating a novel integrated computational model of the human lung to understand the pathophysiology of Acute Respiratory Distress Syndrome.
Daniel Addo (2016-). Validation of MR imaging techniques measuring ventilation and perfusion in the lungs via computational modelling.
Michal Plotkowiak (2007-2010). Hyperpolarised gas MRI for regional chronic lung disease assessment.
Lorenz Berger (2011-2015). Developing a poro-elastic model of the lung.
Selected publications and creative works (Research Outputs)
- Kang, W., Tawhai, M. H., Clark, A. R., Sá RC, Geier, E. T., Prisk, G. K., & Burrowes, K. S. (2018). In silico modeling of oxygen-enhanced MRI of specific ventilation. Physiological reports, 6 (7)10.14814/phy2.13659
Other University of Auckland co-authors: Merryn Tawhai, Alys Clark
- Burrowes, K. S., Iravani, A., & Kang, W. (2018). Integrated lung tissue mechanics one piece at a time: Computational modeling across the scales of biology. Clinical biomechanics (Bristol, Avon)10.1016/j.clinbiomech.2018.01.002
- Burrowes, K. S., De Backer, J., & Kumar, H. (2017). Image-based computational fluid dynamics in the lung: Virtual reality or new clinical practice?. Wiley Interdisciplinary Reviews: Systems Biology and Medicine, 9 (6).10.1002/wsbm.1392
Other University of Auckland co-authors: Haribalan Kumar
- Clark, A., Kumar, H., & Burrowes, K. (2017). Capturing complexity in lung system modelling. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 231 (5), 355-368. 10.1177/0954411916683221
Other University of Auckland co-authors: Alys Clark, Haribalan Kumar
- Burrowes, K., Doel, T., Kim, M., Vargas, C., Roca, J., Grau, V., & Kay, D. (2017). A combined image-modelling approach assessing the impact of hyperinflation due to emphysema on regional ventilation-perfusion matching. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 5 (2), 110-126. 10.1080/21681163.2015.1023358
Department of Computer Science
University of Oxford
Primary office location
2-6 PARK AVENUE - Bldg 529
Level 1, Room 118
2-6 PARK AVE