Professor Alistair Andrew Young
BE, ME, PhD
Alistair obtained a PhD in Engineering Science in 1991 and works mainly in the area of medical image analysis. This work is multidisciplinary, including engineering, anatomy, radiology, cardiology, computer science and bioinformatics. Alistair has developed methods for fast analysis of heart function using MRI, atlas-based analysis of heart disease in large populations, and evaluation of heart stiffness and contractility from non-invasive medical imaging exams. He is a founding member and current Board of Trustees member of the Society of Cardiovascular Magnetic Resonance, Secretary of the FLow and Motion Study Group of the International Society of Magnetic Resonance in Medicine, and serves on the editorial boards of several journals including Medical Image Analysis, Journal of Biomedical and Health Informatics, and GigaScience. He is Principal Investigator for the Cardiac Atlas Project, a world-wide consortium for the re-use of imaging data. This project has made over 5000 cardiac imaging examinations available to the community for research into the analysis and population variation of heart disease. His work has been funded by the Health Research Council of New Zealand, the National Heart Foundation of New Zealand, The Marsden Fund, The Wellcome Trust, and the National Institutes of Health (USA).
- Technical Director of the Auckland MR Research Group (AMRG)
The AMRG performs clinical trials in heart disease and is actively developing new methods for measuring heart function from MRI.
- Research Manager of the Center for Advanced MRI (CAMRI)
CAMRI is a state-of-the-art clinical and research MRI facility at the University of Auckland.
- Member of the Biomedical Imaging Research Unit
The Biomedical Imaging Research Unit is a multidiciplinary imaging facility based in the School of Medical Sciences at the Grafton Campus.
- Principal Investigator at the Auckland Bioengineering Institute
- Principal investigator of the Cardiac Atlas Project
The Cardiac Atlas Project aims to establish a worldwide database of cardiac MRI examinations by pooling data from a number of research studies, thereby creating a probabilistic atlas of regional heart function. For a detailed example of a single volunteer, see the AMRG cardiac MRI atlas.
Selected publications and creative works (Research Outputs)
- Schrauben, E. M., Cowan, B. R., Greiser, A., & Young, A. A. (2017). Left ventricular function and regional strain with subtly-tagged steady-state free precession feature tracking. Journal of magnetic resonance imaging : JMRI10.1002/jmri.25819
Other University of Auckland co-authors: Brett Cowan
- Ambale-Venkatesh, B., Yoneyama, K., Sharma, R. K., Ohyama, Y., Wu, C. O., Burke, G. L., ... Bluemke, D. A. (2017). Left ventricular shape predicts different types of cardiovascular events in the general population. Heart, 103 (7), 499-507. 10.1136/heartjnl-2016-310052
- Zhang, X., Medrano-Gracia, P., Ambale-Venkatesh, B., Bluemke, D. A., Cowan, B. R., Finn, J. P., ... Young, A. A. (2017). Orthogonal decomposition of left ventricular remodeling in myocardial infarction. GigaScience, 6 (3), 1-15. 10.1093/gigascience/gix005
Other University of Auckland co-authors: Avan Suinesiaputra, Brett Cowan
- Kwong, R. Y., Petersen, S. E., Schulz-Menger, J., Arai, A. E., Bingham, S. E., Chen, Y., ... Flamm, S. D. (2017). The global cardiovascular magnetic resonance registry (GCMR) of the society for cardiovascular magnetic resonance (SCMR): its goals, rationale, data infrastructure, and current developments. Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 19 (1)10.1186/s12968-016-0321-7
- Hasaballa, A. I., Sands, G. B., Wilson, A. J., Young, A. A., Wang, V. Y., LeGrice, I. J., & Nash, M. P. (2017). Three-dimensional quantification of myocardial collagen morphology from confocal images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10.1007/978-3-319-59448-4_1
Other University of Auckland co-authors: Gregory Sands, Vicky Wang, Martyn Nash
- Miller, R., Kolipaka, A., Nash, M. P., & Young, A. A. (2017). Identification of transversely isotropic properties from magnetic resonance elastography using the optimised virtual fields method. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10.1007/978-3-319-59448-4_40
- Nacif, M. S., Almeida, A. L. C., Young, A. A., Cowan, B. R., Armstrong, A. C., Yang, E., ... Lima, J. A. (2017). Three-Dimensional Volumetric Assessment of Diastolic Function by Cardiac Magnetic Resonance Imaging: The Multi-Ethnic Study of Atherosclerosis (MESA). Arquivos brasileiros de cardiologia, 108 (6), 552-563. 10.5935/abc.20170063
Other University of Auckland co-authors: Brett Cowan
- Suinesiaputra, A., Ablin, P., Alba, X., Alessandrini, M., Allen, J., Bai, W., ... D'hooge J (2017). Statistical shape modeling of the left ventricle: myocardial infarct classification challenge. IEEE Journal of Biomedical and Health Informatics, 1-1. 10.1109/JBHI.2017.2652449
Other University of Auckland co-authors: Pau Medrano-Gracia, Avan Suinesiaputra, Brett Cowan