Dr Gregory Sands
Greg Sands is a graduate of the University of Auckland, and studied in the Department of Engineering Science. In 1996 he completed his PhD under the supervision of Professor Peter Hunter, which established new methods for computer models of cardiac electrophysiology applicable to deforming geometries.
Following that, he has undertaken post-doctoral research in both the Department of Physiology and in the Auckland Bioengineering Institute, separated by several years working for UniServices. His research has continued to focus on the relationship between cardiac structure and its electrical and mechanical function, and has included experimental and clinical research, as well as computer simulation and mathematical modelling.
More recently, his main area of research has been the imaging of cardiac structure, including the development of novel extended-volume confocal imaging systems, as well as image analysis techniques which enable the use of image data in computational models.
Research | Current
Greg is currently employed under an HRC programme grant which is investigating the links between cardiac structure and electrical function, particularly relating to atrial and ventricular arrhythmia. This involves a mix of experimental work, imaging, and computer modelling.
Greg is also involved with other projects that use extended-volume confocal imaging to acquire data for computer models.
Areas of expertise
- LabVIEW programming
- Confocal microscopy
- Image analysis techniques
- Cardiac structure
Selected publications and creative works (Research Outputs)
- Ashton, J. L., Argent, L., Smith, J. E. G., Jin, S., Sands, G. B., Smaill, B. H., & Montgomery, J. M. (2020). Evidence of structural and functional plasticity occurring within the intracardiac nervous system of spontaneously hypertensive rats. American journal of physiology. Heart and circulatory physiology, 318 (6), H1387-H1400. 10.1152/ajpheart.00020.2020
Other University of Auckland co-authors: Jesse Ashton, Liam Argent, Bruce Smaill, Johanna Montgomery
- Kelch, I. D., Bogle, G., Sands, G. B., Phillips, A. R. J., LeGrice, I. J., & Dunbar, P. R. (2019). High-resolution 3D imaging and topological mapping of the lymph node conduit system. PLoS biology, 17 (12)10.1371/journal.pbio.3000486
Other University of Auckland co-authors: Anthony Phillips, Inken Kelch, Gib Bogle, Rod Dunbar, Ian LeGrice
- Bear, L. R., LeGrice, I. J., Sands, G. B., Lever, N. A., Loiselle, D. S., Paterson, D. J., ... Smaill, B. H. (2018). How Accurate Is Inverse Electrocardiographic Mapping? A Systematic In Vivo Evaluation. Circulation. Arrhythmia and electrophysiology, 11 (5)10.1161/circep.117.006108
Other University of Auckland co-authors: Denis Loiselle, Ian LeGrice, Bruce Smaill, Nigel Lever
- Bear, L. R., Cheng, L. K., LeGrice, I. J., Sands, G. B., Lever, N. A., Paterson, D. J., & Smaill, B. H. (2015). Forward problem of electrocardiography: Is it solved?. Circulation: Arrhythmia and Electrophysiology, 8 (3), 677-684. 10.1161/CIRCEP.114.001573
Other University of Auckland co-authors: Bruce Smaill, Ian LeGrice, Leo Cheng, Nigel Lever
- Bernus, O., Radjenovic, A., Trew, M. L., LeGrice, I. J., Sands, G. B., Magee, D. R., ... Gilbert, S. H. (2015). Comparison of diffusion tensor imaging by cardiovascular magnetic resonance and gadolinium enhanced 3D image intensity approaches to investigation of structural anisotropy in explanted rat hearts. Journal of Cardiovascular Magnetic Resonance, 1710.1186/s12968-015-0129-x
Other University of Auckland co-authors: Bruce Smaill, Mark Trew, Ian LeGrice
- Kelch, I. D., Bogle, G., Sands, G. B., Phillips, A. R. J., Le Grice, I. J., & Dunbar, P. R. (2015). Organ-wide 3D-imaging and topological analysis of the continuous microvascular network in a murine lymph node. Scientific Reports, 5.10.1038/srep16534
Other University of Auckland co-authors: Rod Dunbar, Inken Kelch, Anthony Phillips, Ian LeGrice, Gib Bogle
- Zhao, J., Butters, T. D., Zhang, H., Legrice, I. J., Sands, G. B., & Smaill, B. H. (2013). Image-based model of atrial anatomy and electrical activation: A computational platform for investigating atrial arrhythmia. IEEE Transactions on Medical Imaging, 32 (1), 18-27. 10.1109/TMI.2012.2227776
Other University of Auckland co-authors: Jichao Zhao, Ian LeGrice, Bruce Smaill
- Gilbert, S. H., Sands, G. B., LeGrice, I. J., Smaill, B. H., Bernus, O., & Trew, M. L. (2012). A framework for myoarchitecture analysis of high resolution cardiac MRI and comparison with diffusion tensor MRI. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 10.1109/EMBC.2012.6346859
Other University of Auckland co-authors: Bruce Smaill, Ian LeGrice, Mark Trew
Primary office location
AUCKLAND BIOENGINEERING HOUSE - Bldg 439
Level G, Room G12
70 SYMONDS ST