
Overview
Background
my research interests are in the design of diagnostic medical devices and new applications for those devices
Prof Crozier is the director of Biomedical Engineering at UQ. He holds a higher doctorate in engineering for his work in improving the technology of imaging equipment. Stuart was elelcted as a fellow of the institute of physics (UK) in 2004 and hold many national and international grants relating to medical imaging and medical devices.
Availability
- Emeritus Professor Stuart Crozier is:
- Available for supervision
- Media expert
Fields of research
Qualifications
- Bachelor (Honours) of Engineering, Queensland University of Technology
- Masters (Coursework) of Applied Science, Queensland University of Technology
- Doctor of Philosophy, The University of Queensland
Works
Search Professor Stuart Crozier’s works on UQ eSpace
2022
Journal Article
Deep grey matter quantitative susceptibility mapping from small spatial coverages using deep learning
Zhu, Xuanyu, Gao, Yang, Liu, Feng, Crozier, Stuart and Sun, Hongfu (2022). Deep grey matter quantitative susceptibility mapping from small spatial coverages using deep learning. Zeitschrift fur Medizinische Physik, 32 (2), 188-198. doi: 10.1016/j.zemedi.2021.06.004
2022
Journal Article
Exposure of infants to gradient fields in a baby MRI scanner
Tang, Fangfang, Giaccone, Luca, Hao, Jiahao, Freschi, Fabio, Wu, Tongning, Crozier, Stuart and Liu, Feng (2022). Exposure of infants to gradient fields in a baby MRI scanner. Bioelectromagnetics, 43 (2), 69-80. doi: 10.1002/bem.22387
2022
Journal Article
Automated volumetric and statistical shape assessment of cam-type morphology of the femoral head-neck region from clinical 3D magnetic resonance images
Bugeja, Jessica M., Xia, Ying, Chandra, Shekhar S., Murphy, Nicholas J., Eyles, Jillian, Spiers, Libby, Crozier, Stuart, Hunter, David J., Fripp, Jurgen and Engstrom, Craig (2022). Automated volumetric and statistical shape assessment of cam-type morphology of the femoral head-neck region from clinical 3D magnetic resonance images. Quantitative Imaging in Medicine and Surgery, 12 (10), 4941. doi: 10.21037/qims-22-332
2022
Conference Publication
Anomaly-aware 3D segmentation of knee magnetic resonance images
Woo, Boyeong, Engstrom, Craig, Fripp, Jurgen, Crozier, Stuart and Chandra, Shekhar S. (2022). Anomaly-aware 3D segmentation of knee magnetic resonance images. 5th International Conference on Medical Imaging with Deep Learning, Zurich, Switzerland, 6-8 July 2022. Cambridge, MA United States: ML Research Press.
2021
Conference Publication
Image reconstruction for the rotating RF coil using k-t bin robust principal component analysis (RPCA) method
Shi, Ke, Li, Mingyan, Weber, Ewald, Crozier, Stuart and Liu, Feng (2021). Image reconstruction for the rotating RF coil using k-t bin robust principal component analysis (RPCA) method. Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Virtual, 1-5 November 2021. Piscataway, NJ, United States: IEEE. doi: 10.1109/EMBC46164.2021.9631104
Featured
2021
Journal Article
Case Report: preliminary images from an electromagnetic portable brain scanner for diagnosis and monitoring of acute stroke
Cook, David, Brown, Helen, Widanapathirana, Isuravi, Shah, Darshan, Walsham, James, Trakic, Adnan, Zhu, Guohun, Zamani, Ali, Guo, Lei, Brankovic, Aida, Al-Saffar, Ahmed, Stancombe, Anthony, Bialkowski, Alina, Nguyen, Phong, Bialkowski, Konstanty, Crozier, Stuart and Abbosh, Amin (2021). Case Report: preliminary images from an electromagnetic portable brain scanner for diagnosis and monitoring of acute stroke. Frontiers in Neurology, 12 765412, 765412. doi: 10.3389/fneur.2021.765412
2021
Journal Article
Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction
Gao, Yang, Cloos, Martijn, Liu, Feng, Crozier, Stuart, Pike, G. Bruce and Sun, Hongfu (2021). Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction. NeuroImage, 240 118404, 1-13. doi: 10.1016/j.neuroimage.2021.118404
2021
Journal Article
Automated analysis of immediate reliability of T2 and T2* relaxation times of hip joint cartilage from 3 T MR examinations
Bugeja, Jessica M., Chandra, Shekhar S., Neubert, Aleš, Fripp, Jurgen, Lockard, Carly A., Ho, Charles P., Crozier, Stuart and Engstrom, Craig (2021). Automated analysis of immediate reliability of T2 and T2* relaxation times of hip joint cartilage from 3 T MR examinations. Magnetic Resonance Imaging, 82, 42-54. doi: 10.1016/j.mri.2021.06.008
2021
Journal Article
Deep unregistered multi-contrast MRI reconstruction
Liu, Xinwen, Wang, Jing, Jin, Jin, Li, Mingyan, Tang, Fangfang, Crozier, Stuart and Liu, Feng (2021). Deep unregistered multi-contrast MRI reconstruction. Magnetic Resonance Imaging, 81, 33-41. doi: 10.1016/j.mri.2021.05.005
2021
Journal Article
Integrated multi-modal antenna with coupled radiating structures (I-MARS) for 7T pTx body MRI
Destruel, Aurelien, Jin, Jin, Weber, Ewald, Li, Mingyan, Engstrom, Craig, Liu, Feng and Crozier, Stuart (2021). Integrated multi-modal antenna with coupled radiating structures (I-MARS) for 7T pTx body MRI. IEEE Transactions on Medical Imaging, 41 (1), 1-13. doi: 10.1109/TMI.2021.3103654
2021
Journal Article
Bespoke fractal sampling patterns for discrete Fourier space via the kaleidoscope transform
White, Jacob Michael, Crozier, Stuart and Chandra, Shekhar Suresh (2021). Bespoke fractal sampling patterns for discrete Fourier space via the kaleidoscope transform. IEEE Signal Processing Letters, 14 (8), 1-5. doi: 10.1109/lsp.2021.3116510
2021
Journal Article
Deep learning in magnetic resonance image reconstruction
Chandra, Shekhar S., Bran Lorenzana, Marlon, Liu, Xinwen, Liu, Siyu, Bollmann, Steffen and Crozier, Stuart (2021). Deep learning in magnetic resonance image reconstruction. Journal of Medical Imaging and Radiation Oncology, 65 (5) 1754-9485.13276, 564-577. doi: 10.1111/1754-9485.13276
2021
Journal Article
ReUINet: A fast GNL distortion correction approach on a 1.0 T MRI-Linac scanner
Shan, Shanshan, Li, Mao, Li, Mingyan, Tang, Fangfang, Crozier, Stuart and Liu, Feng (2021). ReUINet: A fast GNL distortion correction approach on a 1.0 T MRI-Linac scanner. Medical Physics, 48 (6), 2991-3002. doi: 10.1002/mp.14861
2021
Journal Article
Optimizing multicontrast MRI reconstruction with shareable feature aggregation and selection
Liu, Xinwen, Wang, Jing, Lin, Suzhen, Crozier, Stuart and Liu, Feng (2021). Optimizing multicontrast MRI reconstruction with shareable feature aggregation and selection. NMR in Biomedicine, 34 (8) e4540, 1-13. doi: 10.1002/nbm.4540
2021
Conference Publication
Accelerating QSM using compressed sensing and deep neural network
Gao, Yang, Liu, Feng, Crozier, Stuart and Sun, Hongfu (2021). Accelerating QSM using compressed sensing and deep neural network. 2021 ISMRM & SMRT Annual Meeting & Exhibition, Online, 15-20 May 2021. Berkeley, CA, United States: International Society for Magnetic Resonance in Medicine.
2021
Conference Publication
Can3d: Fast 3D knee mri segmentation via compact context aggregation
Dai, Wei, Woo, Boyeong, Liu, Siyu, Marques, Matthew, Tang, Fangfang, Crozier, Stuart, Engstrom, Craig and Chandra, Shekhar (2021). Can3d: Fast 3D knee mri segmentation via compact context aggregation. 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), Nice, France, 13-16 April 2021. Piscataway, NJ United States: IEEE. doi: 10.1109/isbi48211.2021.9433784
2021
Journal Article
On the regularization of feature fusion and mapping for fast MR multi-contrast imaging via iterative networks
Liu, Xinwen, Wang, Jing, Sun, Hongfu, Chandra, Shekhar S, Crozier, Stuart and Liu, Feng (2021). On the regularization of feature fusion and mapping for fast MR multi-contrast imaging via iterative networks. Magnetic resonance imaging, 77, 159-168. doi: 10.1016/j.mri.2020.12.019
2021
Journal Article
Metamaterial-inspired radiofrequency (RF) shield with reduced specific absorption rate (SAR) and improved transmit efficiency for UHF MRI
Chen, Haiwei, Guo, Lei, Li, Mingyan, Destruel, Aurelien, Liu, Chunyi, Weber, Ewald, Liu, Feng and Crozier, Stuart (2021). Metamaterial-inspired radiofrequency (RF) shield with reduced specific absorption rate (SAR) and improved transmit efficiency for UHF MRI. IEEE Transactions on Biomedical Engineering, 68 (4) 9190053, 1178-1189. doi: 10.1109/tbme.2020.3022884
2021
Journal Article
xQSM: quantitative susceptibility mapping with octave convolutional and noise-regularized neural networks
Gao, Yang, Zhu, Xuanyu, Moffat, Bradford A., Glarin, Rebecca, Wilman, Alan H., Pike, G. Bruce, Crozier, Stuart, Liu, Feng and Sun, Hongfu (2021). xQSM: quantitative susceptibility mapping with octave convolutional and noise-regularized neural networks. NMR in Biomedicine, 34 (3) e4461, e4461. doi: 10.1002/nbm.4461
2021
Journal Article
Discrete element and finite element methods provide similar estimations for hip joint contact mechanics during walking gait
Li, Mao, Venäläinen, Mikko S., Chandra, Shekhar S., Patel, Rushabh, Fripp, Jurgen, Engstrom, Craig, Korhonen, Rami K., Töyräs, Juha and Crozier, Stuart (2021). Discrete element and finite element methods provide similar estimations for hip joint contact mechanics during walking gait. Journal of Biomechanics, 115 110163, 1-11. doi: 10.1016/j.jbiomech.2020.110163
Funding
Past funding
Supervision
Availability
- Emeritus Professor Stuart Crozier is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Supervision history
Current supervision
-
Doctor Philosophy
Medical Shape Analysis of 3D MRI Segmentation with Deep Learning
Associate Advisor
Other advisors: Dr Shakes Chandra
-
Doctor Philosophy
Innovative RF Coil Designs and Metamaterial Applications for Ultra-High Field MRI
Associate Advisor
Other advisors: Dr Lei Guo, Professor Feng Liu
-
Doctor Philosophy
Novel deep learning approaches to understanding human diseases
Associate Advisor
Other advisors: Associate Professor Craig Engstrom, Dr Shakes Chandra
-
Doctor Philosophy
Innovative RF Coil Designs and Metamaterial Applications for Ultra-High Field MRI
Associate Advisor
Other advisors: Dr Lei Guo, Professor Feng Liu
-
Doctor Philosophy
Manifold Learning for Magnetic Resonance Imaging
Associate Advisor
Other advisors: Associate Professor Craig Engstrom, Dr Shakes Chandra
-
Doctor Philosophy
Foundational models for visual recognition
Associate Advisor
Other advisors: Associate Professor Craig Engstrom, Dr Shakes Chandra
-
Doctor Philosophy
Improving Feature Extraction and Feature Interpretability for Deep Learning in Medical Image Analysis
Associate Advisor
Other advisors: Associate Professor Craig Engstrom, Dr Shakes Chandra
-
Doctor Philosophy
Deep Learning Applied to Medical Image Analysis
Associate Advisor
Other advisors: Associate Professor Craig Engstrom, Dr Shakes Chandra
-
Doctor Philosophy
The design of metamaterial RF shield to reduce specific absorption rate and improve B1 efficiency for ultra-high field MRI
Associate Advisor
Other advisors: Dr Lei Guo, Professor Feng Liu
-
Doctor Philosophy
Manifold Learning for Magnetic Resonance Imaging
Associate Advisor
Other advisors: Associate Professor Craig Engstrom, Dr Shakes Chandra
-
Doctor Philosophy
Deployable and Explainable Deep Learning Architectures: Navigating Clinical Challenges in Medical Image Segmentation
Associate Advisor
Other advisors: Associate Professor Craig Engstrom, Dr Shakes Chandra
Completed supervision
-
2019
Doctor Philosophy
Radiofrequency safety and shimming near metal hip prostheses at high and ultra-high field MRI
Principal Advisor
Other advisors: Professor Feng Liu, Professor Markus Barth
-
2017
Doctor Philosophy
Advanced modelling and optimization of gradient coils and their physical behaviour in traditional and paired MRI systems.
Principal Advisor
-
2017
Doctor Philosophy
Gradient Coil Design and Acoustic Noise Control in Magnetic Resonance Imaging Systems
Principal Advisor
Other advisors: Professor Feng Liu
-
2017
Doctor Philosophy
Automated Image Analysis of High-field and Dynamic Musculoskeletal MRI
Principal Advisor
Other advisors: Associate Professor Craig Engstrom
-
2016
Doctor Philosophy
Focusing Microwave Hyperthermia in Realistic Environment for Breast Cancer Treatment
Principal Advisor
Other advisors: Professor Amin Abbosh
-
2015
Doctor Philosophy
The Development of Rotating Radiofrequency Techniques for Ultra-High Field Magnetic Resonance Imaging
Principal Advisor
Other advisors: Professor Feng Liu
-
2015
Doctor Philosophy
Automated Segmentation and Quantitative Analysis of the Hip Joint from Magnetic Resonance Images
Principal Advisor
Other advisors: Associate Professor Craig Engstrom
-
2014
Doctor Philosophy
Clinically based computerized analysis of magnetic resonance imaging of the spine
Principal Advisor
-
-
2012
Doctor Philosophy
Computer-assisted Dental Comparison for Forensic Identification of Human Remains
Principal Advisor
-
2012
Doctor Philosophy
Voxel-Based Analysis of High Angular Resolution Diffusion-Weighted Magnetic Resonance Images
Principal Advisor
-
2011
Doctor Philosophy
Transceive Phased-array Systems for Parallel MRI
Principal Advisor
Other advisors: Professor Feng Liu
-
2011
Master Philosophy
Thoracic electrical impedance model: Investigation into the contribution of ventricular blood volume to the impedance cardiogram.
Principal Advisor
Other advisors: Professor Feng Liu
-
2010
Doctor Philosophy
Exploration of Information in Recurrence Plots to Discriminate Human Heart Rate Variability
Principal Advisor
-
2008
Doctor Philosophy
Automatic Segmentation of the Kneebone and Cartliages
Principal Advisor
-
2008
Doctor Philosophy
Numerical Simulation Tools Design for Field Evaluation in Biomedical Engineering
Principal Advisor
-
2007
Doctor Philosophy
NUMERICAL MODELLING OF ELECTROMAGNETIC FIELD - MATERIAL INTERACTIONS IN MAGNETIC RESONANCE IMAGING
Principal Advisor
Other advisors: Professor Feng Liu
-
2006
Doctor Philosophy
MONITORING THE FLUID FLOW CHARACTERISTICS OF THE OVINE LUMBAR DISC USING MAGNETIC RESONANCE IMAGING AND FINITE ELEMENT ANAYLSIS
Principal Advisor
Other advisors: Professor Martin Veidt
-
2006
Doctor Philosophy
ELECTROMAGNETIC ANALYSIS AND DESIGN OF HIGH FREQUENCY COILS FOR MAGNETIC RERSONANCE
Principal Advisor
-
2006
Doctor Philosophy
THE DESIGN AND ANALYSIS OF HIGH FREQUENCY PHASED ARRAY COILS FOR MRI
Principal Advisor
-
2015
Doctor Philosophy
Computer assisted detection and characterisation of breast cancer in MRI
Joint Principal Advisor
-
2024
Doctor Philosophy
Innovative RF Coil Designs and Metamaterial Applications for Ultra-High Field MRI
Associate Advisor
Other advisors: Dr Lei Guo, Professor Feng Liu
-
2024
Doctor Philosophy
Deployable and Interpretable Deep Learning Architectures: Navigating Clinical Challenges in Medical Image Segmentation
Associate Advisor
Other advisors: Associate Professor Craig Engstrom, Dr Shakes Chandra
-
2024
Doctor Philosophy
Key Applications in Deep Learning Based Quantitative Susceptibility Mapping
Associate Advisor
Other advisors: Dr Hongfu Sun, Professor Feng Liu
-
2022
Doctor Philosophy
Automated Assessment of Cartilage Composition and Cam Morphology using Magnetic Resonance Images of the Hip Joint
Associate Advisor
Other advisors: Associate Professor Craig Engstrom, Dr Shakes Chandra
-
2022
Doctor Philosophy
Improving deep learning-based fast MRI with pre-acquired image guidance
Associate Advisor
Other advisors: Dr Shakes Chandra, Professor Feng Liu
-
2022
Doctor Philosophy
Deep Learning-based Quantitative Susceptibility Mapping: Methods Development and Applications
Associate Advisor
Other advisors: Dr Hongfu Sun, Professor Feng Liu
-
2021
Doctor Philosophy
Correction of Magnetic Resonance Image Distortion due to Gradient Nonlinearity in the Australian MRI-Linac System
Associate Advisor
Other advisors: Professor Feng Liu
-
2020
Doctor Philosophy
Magnetic Resonance Based Electrical Properties Tomography in High/Ultra-High Field MRI
Associate Advisor
Other advisors: Professor Feng Liu
-
2020
Doctor Philosophy
Computer aided lesion detection, segmentation and characterization on mammography and breast MRI
Associate Advisor
Other advisors: Dr Shakes Chandra
-
2008
Doctor Philosophy
High Performance Electromagnetic Computing for Biomedical Applications
Joint Principal Advisor
-
2020
Doctor Philosophy
Incorporating advanced imaging into the treatment of brain tumours.
Associate Advisor
-
2018
Doctor Philosophy
Frequency-Based Microwave Medical Imaging Techniques
Associate Advisor
Other advisors: Professor Amin Abbosh
-
2016
Doctor Philosophy
Gradient coil design and intra-coil eddy currents in MRI systems
Associate Advisor
Other advisors: Professor Feng Liu
-
2016
Doctor Philosophy
Improving the Image Quality in Compressed Sensing MRI by the Exploitation of Data Properties
Associate Advisor
Other advisors: Professor Feng Liu
-
2015
Master Philosophy
The Design of Radiofrequency Coils for a MRI-LINAC System
Associate Advisor
Other advisors: Professor Feng Liu
-
2014
Doctor Philosophy
Exploitation of Sparsity in Compressed Sensing MRI
Associate Advisor
Other advisors: Professor Feng Liu
-
2014
Doctor Philosophy
Split-gradient coil design and analysis for hybrid MRI-involved system
Associate Advisor
Other advisors: Professor Feng Liu
-
2013
Doctor Philosophy
Computational Electromagnetics-tailored Inverse Solution to Radiofrequency Issues of High Field MRI
Associate Advisor
Other advisors: Professor Feng Liu
-
-
2010
Doctor Philosophy
Computer Aided Analysis of Dynamic Contrast Enhanced MRI of Breast Cancer
Associate Advisor
-
2010
Doctor Philosophy
Analysis of Snore Sound Pitch and Total Airway Response in Obstructive Sleep Apnoea Hypopnoea Detection
Associate Advisor
Other advisors: Dr Udantha Abeyratne
-
2008
Doctor Philosophy
Radar Target Recognition based on Ultra Wideband Transient Electromagnetic Scattering
Associate Advisor
-
2005
Master Philosophy
PROCESSING OF SNORE RELATED SOUNDS FOR THE DIAGNOSIS OF OBSTRUCTIVE SLEEP APNOEA (OSA)
Associate Advisor
Other advisors: Dr Udantha Abeyratne
Media
Enquiries
Contact Emeritus Professor Stuart Crozier directly for media enquiries about:
- Bioelectromagnetics
- Biomedical engineering
- Magnetic Resonance Imaging (MRI)
- Magnetic resonance spectroscopy
- MRI
- RF engineering
- Spectroscopy - magnetic resonance
- Superconducting magnet design
Need help?
For help with finding experts, story ideas and media enquiries, contact our Media team: