Overview
Availability
- Dr Viktor Vegh is:
- Available for supervision
- Media expert
Fields of research
Qualifications
- Doctor of Philosophy, Queensland University of Technology
Research interests
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Medical and Quantitative Imaging
Associate Professor Viktor Vegh develops advanced medical imaging technologies and quantitative imaging methods to improve the diagnosis, monitoring, and prevention of disease. His expertise spans magnetic resonance imaging (MRI), positron emission tomography (PET), single-photon emission computed tomography (SPECT), and computed tomography (CT), with a focus on transforming complex imaging measurements into robust, clinically meaningful biomarkers. His research combines imaging physics, mathematical modelling, and computational analysis to characterise tissue structure and function, enabling more precise disease detection, treatment planning, and prognostication. A key aspect of his work is the development of quantitative approaches that produce reproducible measurements that can be compared across patients, sites, and populations. These methods include tissue microstructure imaging, image reconstruction, parameter estimation, and multimodal image analysis, providing new insights into disease processes and personalised healthcare.
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Low-Field MRI
Associate Professor Vegh is recognised for his work in the development of low-field MRI technologies that aim to make advanced medical imaging more accessible, portable, and affordable. His research encompasses MRI instrumentation, acquisition methods, reconstruction techniques, and quantitative image analysis, with the goal of delivering clinically valuable imaging solutions in both traditional and point-of-care settings. By integrating novel hardware and computational innovations, his work seeks to expand access to MRI while maintaining the ability to generate high-quality quantitative information for diagnosis, treatment planning, and disease monitoring.
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Artificial Intelligence for Health
Associate Professor Vegh develops and applies analytical, machine learning, and artificial intelligence methods that transform complex health data into actionable clinical information. His research integrates medical imaging with diverse data sources, including clinical records, genetics, and lifestyle information, to support disease prediction, prognostication, and personalised healthcare. His work focuses on developing interpretable and scalable data-driven solutions that improve clinical decision-making and enable earlier intervention, more precise treatment strategies, and disease prevention at both individual and population levels.
Works
Search Professor Viktor Vegh’s works on UQ eSpace
2020
Journal Article
Combined diffusion tensor imaging and quantitative susceptibility mapping discern discrete facets of white matter pathology post-injury in the rodent brain
Soni, Neha, Vegh, Viktor, To, Xuan Vinh, Mohamed, Abdalla Z., Borges, Karin and Nasrallah, Fatima A. (2020). Combined diffusion tensor imaging and quantitative susceptibility mapping discern discrete facets of white matter pathology post-injury in the rodent brain. Frontiers in Neurology, 11 153, 1-16. doi: 10.3389/fneur.2020.00153
2020
Journal Article
Persistent sodium current blockers can suppress seizures caused by loss of low‐threshold D‐type potassium currents: predictions from an in silico study of K v 1 channel disorders
Du, Jiaxin, Vegh, Viktor and Reutens, David C. (2020). Persistent sodium current blockers can suppress seizures caused by loss of low‐threshold D‐type potassium currents: predictions from an in silico study of K v 1 channel disorders. Epilepsia Open, 5 (1) epi4.12379, 86-96. doi: 10.1002/epi4.12379
2020
Conference Publication
Investigation of Changes in Anomalous Diffusion Parameters in a Mouse Model of Brain Tumour
Yang, Qianqian, Puttick, Simon, Bruce, Zara C., Day, Bryan W. and Vegh, Viktor (2020). Investigation of Changes in Anomalous Diffusion Parameters in a Mouse Model of Brain Tumour. MICCAI Workshop, Shenzhen, China, 13-17 October 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-52893-5_14
2020
Journal Article
Fractional calculus models of magnetic resonance phenomena: Relaxation and diffusion
Magin, Richard L., Hall, Matt G., Karaman, M. Muge and Vegh, Viktor (2020). Fractional calculus models of magnetic resonance phenomena: Relaxation and diffusion. Critical Reviews in Biomedical Engineering, 48 (5), 285-326. doi: 10.1615/CritRevBiomedEng.2020033925
2019
Journal Article
Probing entanglement in Compton interactions
Caradonna, Peter, Reutens, David, Takahashi, Tadayuki, Takeda, Shin'ichiro and Vegh, Viktor (2019). Probing entanglement in Compton interactions. Journal of Physics Communications, 3 (10) 105005, 105005. doi: 10.1088/2399-6528/ab45db
2019
Journal Article
7T GRE-MRI signal compartments are sensitive to dysplastic tissue in focal epilepsy
Thapaliya, Kiran, Urriola, Javier, Barth, Markus, Reutens, David C., Bollmann, Steffen and Vegh, Viktor (2019). 7T GRE-MRI signal compartments are sensitive to dysplastic tissue in focal epilepsy. Magnetic Resonance Imaging, 61, 1-8. doi: 10.1016/j.mri.2019.05.011
2019
Conference Publication
Towards in-vivo voxel-wise parcellation of human brain cortex
Moeiniyan Bagheri, Shahrzad, Vegh, Viktor and Reutens, David (2019). Towards in-vivo voxel-wise parcellation of human brain cortex. International Symposium for Magnetic Resonance in Medicine (ISMRM), Montreal, Canada, 11-16 May 2019.
2019
Journal Article
Monopole antenna array design for 3 T and 7 T magnetic resonance imaging
Kausar, A. S. M. Zahid, Reutens, David C., Weber, Ewald and Vegh, Viktor (2019). Monopole antenna array design for 3 T and 7 T magnetic resonance imaging. PLoS ONE, 14 (4) e0214637, e0214637. doi: 10.1371/journal.pone.0214637
2019
Journal Article
3D-Spatial encoding with permanent magnets for ultra-low field magnetic resonance imaging
Vogel, Michael W., Guridi, Ruben Pellicer, Su, Jiasheng, Vegh, Viktor and Reutens, David C. (2019). 3D-Spatial encoding with permanent magnets for ultra-low field magnetic resonance imaging. Scientific Reports, 9 (1) 1522, 1522. doi: 10.1038/s41598-018-37953-1
2019
Journal Article
Small changes in synaptic gain lead to seizure-like activity in neuronal network at criticality
Du, Jiaxin, Vegh, Viktor and Reutens, David C. (2019). Small changes in synaptic gain lead to seizure-like activity in neuronal network at criticality. Scientific Reports, 9 (1) 1097, 1097. doi: 10.1038/s41598-018-37646-9
2018
Journal Article
Can anomalous diffusion models in magnetic resonance imaging be used to characterise white matter tissue microstructure?
Yu, Qiang, Reutens, David and Vegh, Viktor (2018). Can anomalous diffusion models in magnetic resonance imaging be used to characterise white matter tissue microstructure?. NeuroImage, 175, 122-137. doi: 10.1016/j.neuroimage.2018.03.052
2018
Journal Article
Signal compartments in ultra-high field multi-echo gradient echo MRI reflect underlying tissue microstructure in the brain
Kadamangudi, Shrinath, Reutens, David, Sood, Surabhi and Vegh, Viktor (2018). Signal compartments in ultra-high field multi-echo gradient echo MRI reflect underlying tissue microstructure in the brain. NeuroImage, 178, 403-413. doi: 10.1016/j.neuroimage.2018.05.061
2018
Journal Article
Utility of gradient recalled echo magnetic resonance imaging for the study of myelination in cuprizone mice treated with fingolimod
Ziser, Laura, Meyer-Schell, Naja, Kurniawan, Nyoman D, Sullivan, Robert, Reutens, David, Chen, Min and Vegh, Viktor (2018). Utility of gradient recalled echo magnetic resonance imaging for the study of myelination in cuprizone mice treated with fingolimod. NMR in Biomedicine, 31 (3) e3877, e3877. doi: 10.1002/nbm.3877
2018
Conference Publication
Echo time dependence in temporal frequency shift curves at 3T and 7T
Sood, Surabhi, Reutens, David, Kadamangudi, Shrinath, Barth, Markus and Vegh, Viktor (2018). Echo time dependence in temporal frequency shift curves at 3T and 7T. ISMRM, Paris, France, 16-21 June 2018.
2018
Conference Publication
Myelin water fraction across the corpus callosum using multi-echo gradient echo at 7T - influence of model settings and flip angle
Thapaliya, Kiran, Vegh, Viktor, Bollmann, Steffen and Barth, Markus (2018). Myelin water fraction across the corpus callosum using multi-echo gradient echo at 7T - influence of model settings and flip angle. ISMRM, Paris, France, 16-21 June 2018.
2018
Conference Publication
Monopole antenna array with individual shields for ultra high field Magnetic Resonance Imaging
Zahid Kausar, A. S.M., Reutens, David C., Weber, Ewald and Vegh, Viktor (2018). Monopole antenna array with individual shields for ultra high field Magnetic Resonance Imaging. 2018 Progress In Electromagnetics Research Symposium, PIERS-Toyama 2018, Toyama, Japan, 1-4 August 2018. New York, NY, United States: Institute of Electrical and Electronics Engineers. doi: 10.23919/PIERS.2018.8598231
2018
Conference Publication
Improving FLAIR SAR efficiency by predicting B1-maps at 7T from a standard localizer scan using deep convolutional neural networks
Bollmann, Steffen, Kelly, Samuel, Vegh, Viktor, Rodell, Anders, Tesiram, Yas, Barth, Markus and O'Brien, Kieran (2018). Improving FLAIR SAR efficiency by predicting B1-maps at 7T from a standard localizer scan using deep convolutional neural networks. ISMRM, Paris, France, 17-21 June 2018.
2018
Conference Publication
Magnetic Resonance Fingerprinting (MRF) can reveal microstructural variations in the brain gray matter
Moeiniyan Bagheri, Shahrzad, Vegh, Viktor and Reutens, David (2018). Magnetic Resonance Fingerprinting (MRF) can reveal microstructural variations in the brain gray matter. ISMRM, Paris, France, 17-21 June 2018.
2018
Conference Publication
7T GRE-MRI frequency shifts obtained from signal compartments can differentiate normal from dysplastic tissue in focal epilepsy
Thapaliya, Kiran, Barth, Markus, Bollmann, Steffen, Reutens, David and Vegh, Viktor (2018). 7T GRE-MRI frequency shifts obtained from signal compartments can differentiate normal from dysplastic tissue in focal epilepsy. ISMRM, Paris, France, 16-21 June 2018.
2018
Conference Publication
Magnetic susceptibility of human knee at 7T using ultra-short echo MR data
Abdulla, Shaeez, Reutens, David and Vegh, Viktor (2018). Magnetic susceptibility of human knee at 7T using ultra-short echo MR data. ISMRM, Paris, France, 17-21 June 2018.
Funding
Current funding
Supervision
Availability
- Dr Viktor Vegh is:
- Available for supervision
Looking for a supervisor? Read our advice on how to choose a supervisor.
Supervision history
Current supervision
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Doctor Philosophy
Brain Image Processing for Identifying Small Cortical Lesions
Principal Advisor
Other advisors: Dr Jiaxin Du
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Doctor Philosophy
Quantitative Diffusion MRI for Musculoskeletal Health and Function
Principal Advisor
Other advisors: Professor David Martin
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Doctor Philosophy
Cause-and-effect relationships influencing the MRI derived brain age gap
Principal Advisor
Other advisors: Professor Megan O'Mara, Dr Lena Oestreich
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Doctor Philosophy
Noise Suppression techniques for Portable Low Field MRI
Principal Advisor
Other advisors: Dr Jiaxin Du, Professor Markus Barth
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Doctor Philosophy
Tonic-Clonic Seizures: Network Organisation and Circuitry
Associate Advisor
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Doctor Philosophy
Investigating improvement in quality of kV imaging for image-guided radiotherapy
Associate Advisor
Completed supervision
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2026
Doctor Philosophy
Cross-modality medical image estimation using machine learning with application in epilepsy
Principal Advisor
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2026
Doctor Philosophy
Gel-based imaging-agent formulations for nose-to-brain delivery: In vitro characterisation and molecular imaging readouts
Principal Advisor
Other advisors: Associate Professor Harendra Parekh, Dr Brett Paterson
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2020
Doctor Philosophy
Individually shielded monopole antenna array for ultra-high field MRI
Principal Advisor
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2020
Doctor Philosophy
Multi echo time Magnetic Resonance data as a substitute for Computed Tomography
Principal Advisor
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2019
Doctor Philosophy
Measuring tissue variations in the human brain using quantitative MRI
Principal Advisor
Other advisors: Professor Markus Barth
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2018
Doctor Philosophy
Towards a low-cost and portable ultra-low field magnetic resonance system based on permanent magnets and room temperature detectors
Principal Advisor
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2018
Master Philosophy
Exploring the utility of GRE-MRI signal compartments for temporal susceptibility mapping and investigation of neural microstructure
Principal Advisor
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2026
Doctor Philosophy
Language Mapping using Machine Learning and Deep Learning methods with Naturalistic fMRI
Associate Advisor
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2025
Doctor Philosophy
Automation of Daily MRI Quality Assurance and Standardisation of Preclinical PET/CT Reconstruction Protocols Using Phantom-Based Evaluation
Associate Advisor
Other advisors: Dr Monique Tourell, Professor Markus Barth
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2024
Doctor Philosophy
Deep Learning Strategies for Enhanced mTBI Diagnosis using Clinical and CT Data
Associate Advisor
Other advisors: Dr Shakes Chandra
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2024
Doctor Philosophy
Machine learning for positron emission tomography (PET) reconstruction and analysis
Associate Advisor
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2024
Doctor Philosophy
Machine learning and deep learning-based approaches in epilepsy
Associate Advisor
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2021
Doctor Philosophy
Design and construction of a 3D ultra-low field MRI instrument using a dynamic small permanent magnet array and coil-based inductive magnetometer
Associate Advisor
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2021
Doctor Philosophy
Application of Magnetic Resonance methods for the in vivo imaging of a mouse model of concussion
Associate Advisor
Other advisors: Professor Fatima Nasrallah
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2020
Doctor Philosophy
A novel magnetic resonance technique to characterise grey matter microstructure in the human brain
Associate Advisor
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2020
Doctor Philosophy
MR signal modelling approaches to characterise tissue microstructure in in-vivo human brain
Associate Advisor
Other advisors: Dr Steffen Bollmann, Professor Markus Barth
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2015
Doctor Philosophy
Realistic models for detection of neuronal currents with magnetic resonance imaging
Associate Advisor
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2011
Doctor Philosophy
Magnetic Resonance Imaging Evaluation of Acupuncture Effects on Carpal Tunnel Syndrome
Associate Advisor
Media
Enquiries
Contact Dr Viktor Vegh directly for media enquiries about:
- Instrumentation - imaging
- Magnetic resonance imaging
- MRI
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