Overview
Background
Dr Nyoman Kurniawan is a Senior Research Fellow in the Centre for Advanced Imaging and the Facility Manager for Preclincal 16.4T Microimaging 9.4T MRI scanners.
Dr Kurniawan’s research areas are:
- Diffusion magnetic resonance imaging of mouse neuroanatomy, with view to study neurological disease model, including:
- developmental abnormalities
- spinal cord diseases
- Development of 3D mouse brain, human spinal cord and cephalopod brain atlases using high resolution structural and diffusion MRI
- Development of MR methods for nephron imaging
- Application of MRI for agriculture imaging
Availability
- Dr Nyoman Kurniawan is:
- Available for supervision
- Media expert
Fields of research
Qualifications
- Bachelor of Science, The University of Queensland
- Bachelor (Honours) of Science (Advanced), The University of Queensland
- Doctor of Philosophy, The University of Queensland
Research interests
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Spinal cord MRI
Using MRI to study degeneration and recovery in animal models of MS (EAE) and translation to clinical settings.
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Kidney imaging
Development of new MRI methods to image nephrons
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Development of structural connectome for animal model
Using diffusion MRI and fibre tracking to analyse brain wiring in animal models (rodents, fish, chepalopods)
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Development of MRI methods for agriculture imaging
Using MRI to characterise fruit maturation/ripening and root responses in crops.
Research impacts
Dr Kurniawan research focus is development of new MRI approaches for characterising animal models and ex vivo tissue specimens with the aim of relating the MRI signal to underlying tissue microstructures and processes. Insights gained with this approach have the potential to translate into improved use of MRI in humans. For example, he is working with clinicians at the Jamieson Trauma Institute to develop diffusion methods to measure brachial plexus injury.
Dr Kurniawan has a number of national and international collaborations, in the area of tumour microimaging (University of Sydney); multimodal MR imaging of Alzheimer brain (University of Southern California, USA), developing human spinal cord atlas (Polytechnique Montreal, Canada), and nephron imaging (Monash and University of Nottingham, UK).
Dr Kurniawan also works tangentialy in the applications of MRI to characterise agricultural products. He has been working with Uniquely Australian Foods at QAFFI, using MRI to characterise native fruit maturation and ripening process for commercialisation. Recently, he has obtained research infrastructure funding to establish Agriculture MRI facility at the Gatton Campus.
Works
Search Professor Nyoman Kurniawan’s works on UQ eSpace
2005
Conference Publication
Development of contrast agents for magnetic resonance microimaging
Kurniawan, N., Rogers, F., Li, L., Fox, B., Xu. G., Bartlett, P. F., Coulson, E. and Rose, S. (2005). Development of contrast agents for magnetic resonance microimaging. The Queensland Brain Institute Brain Plasticity Symposium, Brisbane, Australia, 12-15 September, 2005.
2004
Journal Article
N-terminal domain linkage modulates the folding properties of protein S epidermal growth factor-like modules
Kurniawan, ND, O'Leary, JM, Thamlitz, AM, Sofair, R, Werner, JM, Stenflo, J and Downing, AK (2004). N-terminal domain linkage modulates the folding properties of protein S epidermal growth factor-like modules. Biochemistry, 43 (29), 9352-9360. doi: 10.1021/bi0492105
2002
Other Outputs
Dissection of the human low-density lipoprotein receptor structure using NMR spectroscopy
Kurniawan, Nyoman Dana (2002). Dissection of the human low-density lipoprotein receptor structure using NMR spectroscopy. PhD Thesis, School of Molecular and Microbial Sciences, The University of Queensland. doi: 10.14264/105911
2001
Journal Article
NMR structure and backbone dynamics of a concatemer of epidermal growth factor homology modules of the human low-density lipoprotein receptor
Kurniawan, Nyoman D., Aliabadizadeh, Khosrow, Brereton, Ian M., Kroon, Paulus A. and Smith, Ross (2001). NMR structure and backbone dynamics of a concatemer of epidermal growth factor homology modules of the human low-density lipoprotein receptor. Journal of Molecular Biology, 311 (2), 341-356. doi: 10.1006/jmbi.2001.4867
2000
Journal Article
NMR structure of a concatemer of the first and second ligand-binding modules of the human low-density lipoprotein receptor (vol 9, pg 1282, 2000)
Kurniawan, ND, Atkins, AR, Bieri, S, Brown, CJ, Brereton, IM, Kroon, PA and Smith, R (2000). NMR structure of a concatemer of the first and second ligand-binding modules of the human low-density lipoprotein receptor (vol 9, pg 1282, 2000). Protein Science, 9 (10), 2054-2054.
2000
Journal Article
NMR structure of a concatemer of the first and second ligand-binding modules of the human low-density lipoprotein receptor
Kurniawan, N. D., Atkins, A. R., Bieri, S., Brown, C. J., Brereton, I. M., Kroon, P. A. and Smith, R. (2000). NMR structure of a concatemer of the first and second ligand-binding modules of the human low-density lipoprotein receptor. Protein Science, 9 (7), 1282-1293. doi: 10.1110/ps.9.7.1282
2000
Conference Publication
Solution structure of the epidermal growth factor-homology modules of the human low-density lipoprotein receptor
Kurniawan, N. D., Brereton, I. M., Aliabadizadeh, K., Kroon, P. A. and Smith, R. W. (2000). Solution structure of the epidermal growth factor-homology modules of the human low-density lipoprotein receptor. ICMRBS XIX, Florence, Italy, 20-25 Aug, 2000.
1999
Conference Publication
Solution structure of the first and second ligand binding modules of the human low density lipoprotein receptor
Kurniawan, N., Atkins, A. R., Bieri, S., Brereton, I. M., Kroon, P. A. and Smith, R. W. (1999). Solution structure of the first and second ligand binding modules of the human low density lipoprotein receptor. 24th Annual Lorne Conference on Protein Structure and Functin, Erskine House Lorne, Vic., 6-11 February, 1999. Melbourne: Lorne Aust..
Funding
Current funding
Supervision
Availability
- Dr Nyoman Kurniawan is:
- Available for supervision
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Available projects
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Developing novel methods of kidney MRI acquisition and image analysis using artificial intelligence
Nephrons are the basic functional unit of the kidney, an organ with a central role in maintaining homeostasis in the body. The number of nephrons in the kidneys and their microstructure reflect the success of renal development and the trajectory of renal health through life. Low nephron number increases the risk of chronic kidney disease, hypertension and cardiovascular disease.
Current methods for nephron quantitation are limited to ex vivo methods which are labour intensive, affected by shrinkage or use contrast agents. Magnetic Resonance Imaging (MRI) has strong potential to characterise kidney microstructures, but in vivo it suffers from low image resolution and motion artefacts. This PhD project aims to develop novel methods for kidney MR image acquisitions and analyses using artificial intelligence (such as Deep Learning and super resolution methods) to allow characterisation of key components of nephrons, the glomeruli and tubules. It is expected that these new methods will play important roles in future kidney research and contribute to reducing Australia’s epidemic of chronic kidney disease.
This is an opportunity to work with researchers at the Centre for Advanced Imaging, a leading imaging research facility in Australia, and The University of Queensland School of Information Technology and Electrical Engineering.
The project will suit an enthusiastic and highly motivated student with a background in computer science, physics or engineering.
Supervision history
Current supervision
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Doctor Philosophy
Mapping human cervical spinal cord using high resolution structural and diffusion magnetic resonance imaging
Principal Advisor
Other advisors: Dr Gary Cowin
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Doctor Philosophy
Machine learning methods for visualisation and quantification of nephrons with MRI.
Associate Advisor
Other advisors: Dr Shakes Chandra
Completed supervision
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2024
Doctor Philosophy
Development of Diffusion MRI and Tractography Protocols to Characterise Mouse Brain Development
Principal Advisor
Other advisors: Professor Michael Piper
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2023
Doctor Philosophy
Multimodal MRI to monitor disease and treatment in a chronic-progressive EAE mouse model of multiple sclerosis
Principal Advisor
Other advisors: Dr Gary Cowin, Dr Nemat Khan
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2019
Doctor Philosophy
Advanced Diffusion Magnetic Resonance Imaging at Ultrahigh Field to Investigate Neurological Microstructural Changes in an EAE Mouse Model of Multiple Sclerosis
Principal Advisor
Other advisors: Emeritus Professor Maree Smith
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2018
Doctor Philosophy
Anatomical Study of the Human Cervical Spinal Cord and Pathology Assessment of Spinal Cord Injury in Animal Models Using Magnetic Resonance Imaging
Principal Advisor
Other advisors: Dr Gary Cowin, Professor Marc Ruitenberg
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2018
Doctor Philosophy
Neurological study of a mouse model of Fetal Alcohol Spectrum Disorders using advanced imaging techniques
Principal Advisor
Other advisors: Professor Graham Galloway, Dr Karine Mardon
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2015
Doctor Philosophy
Development of magnetic resonance diffusion weighted imaging at 16.4T to assess neurological degeneration in a mouse model of multiple sclerosis
Principal Advisor
Other advisors: Emeritus Professor Maree Smith, Professor Graham Galloway
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2020
Doctor Philosophy
The cardioprotective effects of growth hormone secretagogues in mouse models of myocardial ischemia reperfusion and infarction
Associate Advisor
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2017
Doctor Philosophy
Measuring the progression of upper motor neuron disease using diffusion MRI and its correlation with Clinical phenotype
Associate Advisor
Other advisors: Associate Professor Robert Henderson, Professor Pamela McCombe, Dr Kerstin Pannek
Media
Enquiries
Contact Dr Nyoman Kurniawan directly for media enquiries about:
- Imaging - MRI
- Magnetic Resonance Imaging
- MRI
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