Professor Feng Liu
Professor

Feng Liu

Email: 
Phone: 
+61 7 336 53982

Availability

Professor Feng Liu is:
Available for supervision
Media expert

Fields of research

Biomedical engineering

Qualifications

  • Bachelor of Engineering, Shandong University (山东大学)
  • Masters (Coursework) of Science, Shandong University (山东大学)
  • Doctor of Philosophy, Zhejiang University

Research interests

  • Research interests

    My research lies in medical imaging, with the focus on magnetic resonance imaging (MRI) hardware design and electromagnetic analysis + cardiac electrical function imaging. My current research program includes: (1) Magnetic Resonance Engineering (Electromagnetic Analysis and Design); (2) Magnetic Resonance Imaging (MRI Image reconstruction, including parallel imaging, compressed sensing, etc.); (3) Bioelectromagnetism (AI-based ECG; TMS designs); (4) Computational Electromagnetics (in particular, Finite-difference Time-domain (FDTD)); (5) Engineering Optimization; (6) High-performance Parallel Computing (in particular, GPU computing). (7) Machine learning/deep learning based medical imaging. I am currently recruiting graduate students. Check out Available Projects for details. Open to both Domestic and International students currently onshore.

Search Professor Feng Liu’s works on UQ eSpace

477 works between 1997 and 2025
All (477) Journal Article (304) Conference Publication (170) Other Outputs (3)

261 - 280 of 477 works

2013

Journal Article

A homogeneous superconducting magnet design using a hybrid optimization algorithm

Ni, Zhipeng, Wang, Qiuliang, Liu, Feng and Yan, Luguang (2013). A homogeneous superconducting magnet design using a hybrid optimization algorithm. Measurement Science and Technology, 24 (12) 125402, 125402. doi: 10.1088/0957-0233/24/12/125402

A homogeneous superconducting magnet design using a hybrid optimization algorithm

2013

Journal Article

Compressed sensing MRI with Walsh transform-based sparsity basis

Zhen, Feng, He, Guo, Wang, Yu-Xin, Xu, Wen-Long, Jiang, Ming-Feng and Feng, Liu (2013). Compressed sensing MRI with Walsh transform-based sparsity basis. Information Technology Journal, 12 (23), 7709-7713. doi: 10.3923/itj.2013.7709.7713

Compressed sensing MRI with Walsh transform-based sparsity basis

2013

Conference Publication

Improved halbach magnets by particle swarm optimization for mobile nuclear magnetic resonance systems

Cheng, Yiyuan, Xia, Ling, He, Wei, Zhu, Minhua and Liu, Feng (2013). Improved halbach magnets by particle swarm optimization for mobile nuclear magnetic resonance systems. 2013 9th International Conference on Natural Computation, ICNC 2013, Shenyang, China, July 23 - 25, 2013. IEEE Computer Society. doi: 10.1109/ICNC.2013.6818084

Improved halbach magnets by particle swarm optimization for mobile nuclear magnetic resonance systems

2013

Journal Article

Flanged-edge transverse gradient coil design for a hybrid LINAC-MRI system

Liu, Limei, Sanchez-Lopez, Hector, Liu, Feng and Crozier, Stuart (2013). Flanged-edge transverse gradient coil design for a hybrid LINAC-MRI system. Journal of Magnetic Resonance, 226, 70-78. doi: 10.1016/j.jmr.2012.11.017

Flanged-edge transverse gradient coil design for a hybrid LINAC-MRI system

2013

Conference Publication

Efficient hybrid imaging reconstruction of sensitivity encoding parallel imaging performed on rotating radiofrequency coil array

Li, Mingyan, Jin Jin, Liu, Feng, Trakic, Adnan and Crozier, Stuart (2013). Efficient hybrid imaging reconstruction of sensitivity encoding parallel imaging performed on rotating radiofrequency coil array. International Society for Magnetic Resonance in Medicine, 21st Annual Meeting and Exhibition, Salt Lake City, UT, United States, 20-26 April 2013. New York, NY, United States: International Society of Magnetic Resonance in Medicine.

Efficient hybrid imaging reconstruction of sensitivity encoding parallel imaging performed on rotating radiofrequency coil array

2013

Conference Publication

On patient-specific models for accurate SAR estimations at 7 T

Jin Jin, Liu, Feng, Weber, Ewald and Crozier, Stuart (2013). On patient-specific models for accurate SAR estimations at 7 T. 21st Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2013), Salt Lake City, UT, United States, 20-26 April 2013.

On patient-specific models for accurate SAR estimations at 7 T

2012

Journal Article

Improving SAR estimations in MRI using subject-specific models

Jin, Jin, Liu, Feng, Weber, Ewald and Crozier, Stuart (2012). Improving SAR estimations in MRI using subject-specific models. Physics in Medicine and Biology, 57 (24), 8153-8171. doi: 10.1088/0031-9155/57/24/8153

Improving SAR estimations in MRI using subject-specific models

2012

Journal Article

A finite difference method for the design of gradient coils in MRI-an initial framework

Zhu, Minhua, Xia, Ling, Liu, Feng, Zhu, Jianfeng, Kang, Liyi and Crozier, Stuart (2012). A finite difference method for the design of gradient coils in MRI-an initial framework. Ieee Transactions On Biomedical Engineering, 59 (9 Article No.6153352) 6153352, 2412-2421. doi: 10.1109/TBME.2012.2188290

A finite difference method for the design of gradient coils in MRI-an initial framework

2012

Journal Article

Simulation and analysis of the interactions between split gradient coils and a split magnet cryostat in an MRI-PET system

Liu, Limei, Sanchez-Lopez, Hector, Poole, Michael, Liu, Feng and Crozier, Stuart (2012). Simulation and analysis of the interactions between split gradient coils and a split magnet cryostat in an MRI-PET system. Journal of Magnetic Resonance, 222, 8-15. doi: 10.1016/j.jmr.2012.05.022

Simulation and analysis of the interactions between split gradient coils and a split magnet cryostat in an MRI-PET system

2012

Journal Article

Quench protection design of a 1.5 T superconducting MRI magnet

Li, Yi, Wang, Qiuliang, Chen, Shunzhong, Liu, Feng, Hu, Xinning and Yan, Luguang (2012). Quench protection design of a 1.5 T superconducting MRI magnet. IEEE Transactions On Applied Superconductivity, 22 (3) 4703604, 4703604.1-4703604.4. doi: 10.1109/TASC.2011.2174595

Quench protection design of a 1.5 T superconducting MRI magnet

2012

Journal Article

A superconducting magnet system for whole-body metabolism imaging

Wang, Q., Dai, Y., Zhao, B., Song, S., Wang, C., Li, L., Cheng, J., Chen, S., Wang, H., Ni, Z., Li, Y., Cui, C., Hu, X., Wang, H., Lei, Y., Chan, K., Yan, L., Wen, C., Hui, G., Yang, W., Liu, F., Zhuo, Y., Zhou, X., Yan, Z., Chen, J. and Xu, T. (2012). A superconducting magnet system for whole-body metabolism imaging. Ieee Transactions On Applied Superconductivity, 22 (3) 6080713, 6080713-1-6080713-5. doi: 10.1109/TASC.2011.2175888

A superconducting magnet system for whole-body metabolism imaging

2012

Journal Article

Design of superconducting shim coils for a 400 MHz NMR using nonlinear optimization algorithm

Ni, Zhipeng, Li, Lankai, Hu, Geli, Wen, Cong, Hu, Xinning, Liu, Feng and Wang, Qiuliang (2012). Design of superconducting shim coils for a 400 MHz NMR using nonlinear optimization algorithm. IEEE Transactions On Applied Superconductivity, 22 (3) 6084722, 4900505.1-4900505.5. doi: 10.1109/TASC.2011.2176699

Design of superconducting shim coils for a 400 MHz NMR using nonlinear optimization algorithm

2012

Journal Article

Advanced three-dimensional tailored RF pulse design in volume selective parallel excitation

Shao, Tingting, Xia, Ling, Tao, Guisheng, Chi, Jieru, Liu, Feng and Crozier, Stuart (2012). Advanced three-dimensional tailored RF pulse design in volume selective parallel excitation. IEEE Transactions on Medical Imaging, 31 (5) 6094221, 997-1007. doi: 10.1109/TMI.2011.2178035

Advanced three-dimensional tailored RF pulse design in volume selective parallel excitation

2012

Journal Article

Electromechanical design and construction of a rotating radio-frequency coil system for applications in magnetic resonance

Trakic, Adnan, Weber, Ewald, Li, Bing Keong, Wang, Hua, Liu, Feng, Engstrom, Craig and Crozier, Stuart (2012). Electromechanical design and construction of a rotating radio-frequency coil system for applications in magnetic resonance. IEEE Transactions on Biomedical Engineering, 59 (4), 1068-1075. doi: 10.1109/TBME.2012.2182993

Electromechanical design and construction of a rotating radio-frequency coil system for applications in magnetic resonance

2012

Journal Article

Inverse field-based approach for simultaneous B-1 mapping at high fields: A phantom based study

Jin, Jin, Liu, Feng, Zuo, Zhentao, Xue, Rong, Li, Mingyan, Li, Yu, Weber, Ewald and Crozier, Stuart (2012). Inverse field-based approach for simultaneous B-1 mapping at high fields: A phantom based study. Journal of Magnetic Resonance, 217, 27-35. doi: 10.1016/j.jmr.2012.02.004

Inverse field-based approach for simultaneous B-1 mapping at high fields: A phantom based study

2012

Journal Article

Cardiovascular system modeling

Xia, Ling, Murray, Alan, Zheng, Dingchang, Liu, Feng, Ye, Xuesong and Ning, Gangmin (2012). Cardiovascular system modeling. Computational and Mathematical Methods in Medicine, 2012 583172, 583172.1-583172.2. doi: 10.1155/2012/583172

Cardiovascular system modeling

2012

Conference Publication

Phase unwrapping using discrete Particle Swarm Optimization

He, Wei, Xia, Ling, Cheng, Yiyuan, Liu, Feng and Crozier, Stuart (2012). Phase unwrapping using discrete Particle Swarm Optimization. 20th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), Melbourne, Australia, 5-11 May 2012.

Phase unwrapping using discrete Particle Swarm Optimization

2012

Conference Publication

Inverse field-based approach for the evaluation of electromagnetic fields and its application in local SNR-shimming for MRI

Jin, Jin, Liu, Feng, Weber, Ewald and Crozier, Stuart (2012). Inverse field-based approach for the evaluation of electromagnetic fields and its application in local SNR-shimming for MRI. 34BEMS: 34th Annual Conference of Bioelectromagnetics Society, Brisbane, Australia, 17 - 22 June 2012.

Inverse field-based approach for the evaluation of electromagnetic fields and its application in local SNR-shimming for MRI

2012

Journal Article

A new particle swarm optimization-based method for phase unwrapping of MRI data

He, Wei, Cheng, Yiyuan, Xia, Ling and Liu, Feng (2012). A new particle swarm optimization-based method for phase unwrapping of MRI data. Computational and Mathematical Methods in Medicine, 2012 475745, 475745.1-475745.9. doi: 10.1155/2012/475745

A new particle swarm optimization-based method for phase unwrapping of MRI data

2012

Conference Publication

A passive copper shield for the split MRI system

Limei Liu, Sanchez Lopez, Hector, Michael Poole, Weber, Ewald, Liu, Feng and Crozier, Stuart (2012). A passive copper shield for the split MRI system. 20th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), Melbourne, Australia, 5-11 May 2012. Berkeley, United States: International Society for Magnetic Resonance in Medicine.

A passive copper shield for the split MRI system

Current funding

  • 2024 - 2027
    Quantum-Enabled Low-Field Magnetic Resonance Imaging for High-Performance Sport
    Quantum 2032 Challenge Program
    Open grant
  • 2024 - 2026
    Disambiguating Parkinson's disease from disorders with mimicking symptoms using ultra-high-field (7 Tesla) multi-modal MRI
    NHMRC IDEAS Grants
    Open grant
  • 2023 - 2026
    Tissue Bio-physicochemical Quantification Using Magnetic Resonance Imaging
    ARC Discovery Projects
    Open grant
  • 2022 - 2025
    Evaluation of 7T 8-channel MRI coil for imaging of the human spine
    Aix-Marseille University
    Open grant

Past funding

  • 2023 - 2024
    Versatile Physical Property Measurement System for South-East Queensland (ARC LIEF administered by Queensland University of Technology)
    Queensland University of Technology
    Open grant
  • 2018 - 2022
    Dielectric contrast imaging for 7 Tesla Magnetic Resonance applications
    ARC Discovery Projects
    Open grant
  • 2016 - 2020
    Rotating Radiofrequency Phased-array for 7 Tesla Magnetic Resonance Imaging
    ARC Discovery Projects
    Open grant
  • 2014 - 2016
    Advanced Magnetic Resonance Imaging at 7 Tesla: Resolving the fundamental radiofrequency field-tissue interaction problem at ultra-high field
    ARC Discovery Projects
    Open grant
  • 2013 - 2016
    Heteronuclear parallel imaging and spectroscopy for Magnetic Resonance
    ARC Linkage Projects
    Open grant
  • 2013 - 2016
    Real-time cardiac magnetic resonance imaging: a compressed-sensing framework incorporating sensor design and multidimensional signal reconstruction
    ARC Discovery Projects
    Open grant
  • 2010 - 2012
    Solutions for reducing magnetic resonance image degradations and tissue heating at high frequencies
    ARC Discovery Projects
    Open grant
  • 2010
    UQ Travel Awards #2 - Feng LIU
    UQ Travel Grants Scheme
    Open grant
  • 2008 - 2011
    Transceive Phased Arrays for Parallel Imaging in High Field Magnetic Resonance Microscopy.
    ARC Linkage Projects
    Open grant
  • 2007 - 2011
    UQ Mid-Career Research Fellowship Start-Up Funding: Bioelectromagnetics and medical diagnostics
    UQ Mid-Career Research Fellowship
    Open grant
  • 2005 - 2007
    Cardiac electrographic modelling and analysis
    ARC Discovery Projects
    Open grant

Availability

Professor Feng Liu is:
Available for supervision

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Available projects

  • AI-based Magnetic Resonance Imaging

  • Novel Hardware design in MRI

  • AI-based ECG study

  • Computational Electromagnetics and Its Application in MRI

  • Novel Imaging Methods in MRI

Supervision history

Current supervision

  • Doctor Philosophy

    The design of metamaterial RF shield to reduce specific absorption rate and improve B1 efficiency for ultra-high field MRI

    Principal Advisor

    Other advisors: Emeritus Professor Stuart Crozier, Dr Lei Guo

  • Doctor Philosophy

    Innovative RF Coil Designs and Metamaterial Applications for Ultra-High Field MRI

    Principal Advisor

    Other advisors: Emeritus Professor Stuart Crozier, Dr Lei Guo

  • Doctor Philosophy

    Diagnosis of Arrhythmia using ECG signal classification by neural networks

    Principal Advisor

  • Doctor Philosophy

    AI-empowered super-resolution MRI

    Principal Advisor

  • Doctor Philosophy

    Advance low-field MRI with deep learning fused techonologies

    Principal Advisor

  • Doctor Philosophy

    Radio-frequency system design for magnetic resonance imaging at 7 Tesla

    Principal Advisor

  • Doctor Philosophy

    Combined Compressed sensing and machine learning/deep learning methods for rapid MRI

    Principal Advisor

    Other advisors: Professor Kwun Fong, Associate Professor Henry Marshall, Dr Hongfu Sun

  • Doctor Philosophy

    Passive shimming and electromagnetic contrast imaging at ultrahigh field MRI

    Principal Advisor

  • Doctor Philosophy

    Improving Artificial Intelligence And Deep Learning Algorithms In Super-Resolution Imaging

    Principal Advisor

    Other advisors: Associate Professor Kai-Hsiang Chuang

  • Doctor Philosophy

    Improving Artificial Intelligence And Deep Learning Algorithms In Super-Resolution Imaging

    Principal Advisor

    Other advisors: Associate Professor Kai-Hsiang Chuang

  • Doctor Philosophy

    Combined Compressed sensing and machine learning/deep learning methods for rapid MRI

    Principal Advisor

    Other advisors: Dr Hongfu Sun

  • Doctor Philosophy

    Innovative RF Coil Designs and Metamaterial Applications for Ultra-High Field MRI

    Principal Advisor

    Other advisors: Emeritus Professor Stuart Crozier, Dr Lei Guo

  • Doctor Philosophy

    A novel radio-frequency (RF) antenna system for X-nuclei magnetic resonance imaging

    Principal Advisor

  • Doctor Philosophy

    MR image processing through advanced optimisation techniques and deep learning

    Associate Advisor

    Other advisors: Dr Hongfu Sun

  • Doctor Philosophy

    MR image processing through advanced optimisation techniques and deep learning

    Associate Advisor

    Other advisors: Dr Hongfu Sun

  • Doctor Philosophy

    MRI methods development through deep learning

    Associate Advisor

    Other advisors: Dr Hongfu Sun

  • Doctor Philosophy

    Generalizable and robust quantitative susceptibility mapping using deep learning

    Associate Advisor

    Other advisors: Dr Hongfu Sun

  • Doctor Philosophy

    MR image processing through advanced optimisation techniques and deep learning

    Associate Advisor

    Other advisors: Dr Hongfu Sun

  • Doctor Philosophy

    Development of novel deep learning methods for medical imaging

    Associate Advisor

    Other advisors: Dr Nan Ye, Dr Hongfu Sun

  • Doctor Philosophy

    MR image processing through advanced optimization techniques and deep learning

    Associate Advisor

    Other advisors: Dr Hongfu Sun

Completed supervision

Enquiries

Contact Professor Feng Liu directly for media enquiries about:

  • BioElectromagnetics
  • BioMechanical Engineering
  • Biomedical Engineering
  • Computational Electromagnetics
  • Engineering optimisation
  • Magnetic Resonance Imaging (MRI)

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