Professor Markus Barth
Professor

Markus Barth

Email: 
Phone: 
+61 7 336 53970

Background

Markus graduated from the Vienna University of Technology in Technical Physics in 1995 and was awarded his Doctorate in 1999 after which he worked as postdoctoral research associate and then Assistant Professor at the Department of Radiodiagnostics, Medical University Vienna (AT). From 2004 he worked as Senior Researcher at the Donders Institute for Brain, Cognition and Behaviour (Radboud University Nijmegen, NL) and at the Erwin L. Hahn Institute for Magnetic Resonance Imaging (University Essen-Duisburg, DE). In 2014 he relocated to the University of Queensland to head the Ultra-high Field Human MR Research program at the Centre for Advanced Imaging and was awarded an ARC Future Fellowship. In 2019 he joined the School of Information Technology and Electrical Engineering as Full Professor Biomedical Engineering working on MR Physics and Medical Imaging. He served as Imaging, Sensing and Biomedical Engineering Discipline lead until 2020 when he took up service roles as Deputy Head of School – Research, Director for the National Imaging Facility – Queensland Node, as well as a member of the ARC College of Experts.

Availability

Professor Markus Barth is:
Not available for supervision
Media expert

Fields of research

Biomedical and Clinical Sciences Biomedical engineering Biomedical instrumentation Clinical sciences Engineering Medical devices Neurosciences

Qualifications

  • Doctor of Philosophy of Science (Advanced), Technical University Vienna

Research interests

  • Improving MRI

    Markus is investigating how MRI can be improved by using new image contrasts by mapping quantitative tissue parameters and by using increased spatial resolution. For example, very small venous vessels and small bleedings in the brain can be visualised using specific contrasts using the MR phase reflecting magnetic susceptibility (SWI and QSM). This information can be used as a very sensitive disease marker in a range of neurodegenerative diseases (traumatic brain injuries, tumours, dementia). He is also developing faster image acquisition methods such as 3D Echo-Planar-Imaging (EPI) that allows reducing the acquisition time by a factor 5-10 compared to standard techniques while keeping the high image fidelity.

  • Understanding brain activity using functional MRI

    Blood oxygenation level dependent (BOLD) functional MRI gives a good picture of neural activation and connectivity in the living human brain non-invasively. Markus is particularly interested to identify small functional units of the brain, such as cortical layers and columns, in order to better understand brain function by developing very fast functional MRI techniques with the highest spatial resolution possible. Recently, he also addressed important neuroscientific questions such as memory consolidation during sleep and decoding measured functional signals (brain reading). He also explored the possibilities of simultaneous acquisition of EEG and fMRI to examine the link between electrophysiology and BOLD task activity and large scale brain networks.

Research impacts

Markus has made significant scientific contributions in the fields of Cognitive Neuroscience, Neuroimaging, and MR methods at (ultra-)high field and key contributions to MRI scanner software packages, which are used in MR labs worldwide. Markus’ main interest is to improve our understanding of brain function and disfunction in cognition, neurodegenerative diseases, and cancer by developing new medical imaging techniques. With a focus on human neuroimaging using magnetic resonance imaging (MRI) at high and ultra-high magnetic field strength, he achieved fast, high resolution mapping of magnetic susceptibility related anatomical and functional information in vivo, including characterisation of blood oxygenation, iron storage in tissue, haemorrhage and calcifications. Recent achievements include the development of accurate detection of layer specific functional activation in the human brain, decoding of brain activity and ultra-fast MRI. His research interests are in the fields of MR method development including applications in neuroimaging and neurological diseases including dementia, motor neurone disease, and cancer.

Search Professor Markus Barth’s works on UQ eSpace

179 works between 1997 and 2025
All (179) Journal Article (139) Book Chapter (4) Conference Publication (31) Other Outputs (5)

21 - 40 of 179 works

2024

Conference Publication

Computationally efficient multi-echo QSM

Eckstein, Korbinian, Dao, Thanh, Stewart, Ashley, Robinson, Simon, Barth, Markus and Bollmann, Steffen (2024). Computationally efficient multi-echo QSM. 2023 ISMRM & ISMRT Annual Meeting & Exhibition, Toronto, ON, Canada, 3-8 June 2023. Berkeley, CA, United States: International Society for Magnetic Resonance in Medicine. doi: 10.58530/2023/4184

Computationally efficient multi-echo QSM

2024

Conference Publication

Longitudinal reproducibility of 3D-FID-CRT-MRSI in the human brain at 3T and 7T

Eftekhari, Zeinab, Shaw, Thomas B., Eckstein, Korbinian, Strasser, Bernhard, Niess, Fabian, Hingerl, Lukas, Bogner, Wolfgang and Barth, Markus (2024). Longitudinal reproducibility of 3D-FID-CRT-MRSI in the human brain at 3T and 7T. ISMRM Annual Meeting, Singapore, Singapore, 4 - 9 May 2024. Berkeley, CA, United States: International Society for Magnetic Resonance in Medicine. doi: 10.58530/2024/1852

Longitudinal reproducibility of 3D-FID-CRT-MRSI in the human brain at 3T and 7T

2024

Conference Publication

T1-weighted fMRI in mouse visual cortex at 0.1 mm resolution using a UTE sequence after iron-oxide contrast injection

Jain, Naman, Bollmann, Saskia, Chuang, Kai-Hsiang, Polimeni, Jonathan and Barth, Markus (2024). T1-weighted fMRI in mouse visual cortex at 0.1 mm resolution using a UTE sequence after iron-oxide contrast injection. 2024 ISMRM & ISMRT Annual Meeting, Singapore, 4-9 May 2024. Concord, CA United States: ISMRM. doi: 10.58530/2024/3410

T1-weighted fMRI in mouse visual cortex at 0.1 mm resolution using a UTE sequence after iron-oxide contrast injection

2024

Conference Publication

Fast, High-resolution Whole Brain SWI and QSM with CAIPIRINHA 3D-EPI and Deep Learning Reconstruction

Jin, Jin, Nickel, Dominik, Pfeuffer, Josef, Tourell, Monique, Stewart, Ashley, Bollmann, Steffen, Bollmann, Saskia, Barth, Markus and O‘Brien, Kieran (2024). Fast, High-resolution Whole Brain SWI and QSM with CAIPIRINHA 3D-EPI and Deep Learning Reconstruction. 2024 ISMRM & ISMRT Annual Meeting, Singapore, 4-9 May 2024. Concord, CA United States: ISMRM. doi: 10.58530/2024/2822

Fast, High-resolution Whole Brain SWI and QSM with CAIPIRINHA 3D-EPI and Deep Learning Reconstruction

2024

Book Chapter

A Data-Driven Framework for Whole-Brain Network Modeling with Simultaneous EEG-SEEG Data

Lou, Kexin, Li, Jingzhe, Barth, Markus and Liu, Quanying (2024). A Data-Driven Framework for Whole-Brain Network Modeling with Simultaneous EEG-SEEG Data. IFIP Advances in Information and Communication Technology. (pp. 329-342) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-031-57808-3_24

A Data-Driven Framework for Whole-Brain Network Modeling with Simultaneous EEG-SEEG Data

2024

Conference Publication

Reliability and reproducibility of neurochemical profiles obtained with sLASER and STEAM at 3T and 7T in lower and upper limb regions

Eftekhari, Zeinab, Shaw, Thomas B., Deelchand, Dinesh, Marjańska, Małgorzata, Bogner, Wolfgang and Barth, Markus (2024). Reliability and reproducibility of neurochemical profiles obtained with sLASER and STEAM at 3T and 7T in lower and upper limb regions. ISMRM Annual Meeting, Singapore, Singapore, 4 - 9 May 2024. Berkeley, CA, United States: International Society for Magnetic Resonance in Medicine. doi: 10.58530/2024/1835

Reliability and reproducibility of neurochemical profiles obtained with sLASER and STEAM at 3T and 7T in lower and upper limb regions

2023

Journal Article

Velocity selective spin labeling using parallel transmission

Wu, Chia‐Yin, Jin, Jin, Dixon, Carl, Maillet, Donald, Barth, Markus and Cloos, Martijn A. (2023). Velocity selective spin labeling using parallel transmission. Magnetic Resonance in Medicine, 91 (4), 1576-1585. doi: 10.1002/mrm.29955

Velocity selective spin labeling using parallel transmission

2023

Journal Article

Super-resolution QSM in little or No Additional Time for Imaging (NATIve) using 2D EPI imaging in 3 orthogonal planes

Bachrata, Beata, Bollmann, Steffen, Jin, Jin, Tourell, Monique, Dal-Bianco, Assunta, Trattnig, Siegfried, Barth, Markus, Ropele, Stefan, Enzinger, Christian and Robinson, Simon Daniel (2023). Super-resolution QSM in little or No Additional Time for Imaging (NATIve) using 2D EPI imaging in 3 orthogonal planes. NeuroImage, 283 120419, 1-17. doi: 10.1016/j.neuroimage.2023.120419

Super-resolution QSM in little or No Additional Time for Imaging (NATIve) using 2D EPI imaging in 3 orthogonal planes

2023

Journal Article

Improving portable low-field MRI image quality through image-to-image translation using paired low- and high-field images

Islam, Kh Tohidul, Zhong, Shenjun, Zakavi, Parisa, Chen, Zhifeng, Kavnoudias, Helen, Farquharson, Shawna, Durbridge, Gail, Barth, Markus, McMahon, Katie L., Parizel, Paul M., Dwyer, Andrew, Egan, Gary F., Law, Meng and Chen, Zhaolin (2023). Improving portable low-field MRI image quality through image-to-image translation using paired low- and high-field images. Scientific Reports, 13 (1) 21183, 1-13. doi: 10.1038/s41598-023-48438-1

Improving portable low-field MRI image quality through image-to-image translation using paired low- and high-field images

2023

Other Outputs

Deep-learning-enabled differentiation between intraprostatic gold fiducial markers and calcification in quantitative susceptibility mapping

Stewart, Ashley Wilton, Goodwin, Jonathan, Richardson, Matthew, Robinson, Simon Daniel, O’Brien, Kieran, Jin, Jin, Barth, Markus and Bollmann, Steffen (2023). Deep-learning-enabled differentiation between intraprostatic gold fiducial markers and calcification in quantitative susceptibility mapping.

Deep-learning-enabled differentiation between intraprostatic gold fiducial markers and calcification in quantitative susceptibility mapping

2023

Journal Article

Improved dynamic distortion correction for fMRI using single‐echo EPI and a readout‐reversed first image (REFILL)

Robinson, Simon Daniel, Bachrata, Beata, Eckstein, Korbinian, Bollmann, Saskia, Bollmann, Steffen, Dymerska, Barbara, Hodono, Shota, Cloos, Martijn, Tourell, Monique, Jin, Jin, O'Brien, Kieran, Reutens, David C., Trattnig, Siegfried, Enzinger, Christian and Barth, Markus (2023). Improved dynamic distortion correction for fMRI using single‐echo EPI and a readout‐reversed first image (REFILL). Human Brain Mapping, 44 (15), 5095-5112. doi: 10.1002/hbm.26440

Improved dynamic distortion correction for fMRI using single‐echo EPI and a readout‐reversed first image (REFILL)

2023

Journal Article

Altered brain connectivity in Long Covid during cognitive exertion: a pilot study

Barnden, Leighton, Thapaliya, Kiran, Eaton-Fitch, Natalie, Barth, Markus and Marshall-Gradisnik, Sonya (2023). Altered brain connectivity in Long Covid during cognitive exertion: a pilot study. Frontiers in Neuroscience, 17 1182607, 1182607. doi: 10.3389/fnins.2023.1182607

Altered brain connectivity in Long Covid during cognitive exertion: a pilot study

2023

Conference Publication

Investigating the computational reproducibility of Neurodesk

Dao, Thuy, Renton, Angela, Narayanan, Aswin, Barth, Markus and Bollmann, Steffen (2023). Investigating the computational reproducibility of Neurodesk. International Society for Magnetic Resonance in Medicine, Toronto, ON, Canada, 3-8 June 2023.

Investigating the computational reproducibility of Neurodesk

2023

Journal Article

HumanBrainAtlas: an in vivo MRI dataset for detailed segmentations

Schira, Mark M., Isherwood, Zoey J., Kassem, Mustafa S., Barth, Markus, Shaw, Thomas B., Roberts, Michelle M. and Paxinos, George (2023). HumanBrainAtlas: an in vivo MRI dataset for detailed segmentations. Brain Structure and Function, 228 (8), 1-15. doi: 10.1007/s00429-023-02653-8

HumanBrainAtlas: an in vivo MRI dataset for detailed segmentations

2023

Journal Article

Brainstem volume changes in myalgic encephalomyelitis/chronic fatigue syndrome and long COVID patients

Thapaliya, Kiran, Marshall-Gradisnik, Sonya, Barth, Markus, Eaton-Fitch, Natalie and Barnden, Leighton (2023). Brainstem volume changes in myalgic encephalomyelitis/chronic fatigue syndrome and long COVID patients. Frontiers in Neuroscience, 17 1125208, 1-10. doi: 10.3389/fnins.2023.1125208

Brainstem volume changes in myalgic encephalomyelitis/chronic fatigue syndrome and long COVID patients

2023

Journal Article

NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data

Cognolato, Francesco, O’Brien, Kieran, Jin, Jin, Robinson, Simon, Laun, Frederik B., Barth, Markus and Bollmann, Steffen (2023). NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data. Medical Image Analysis, 84 102700, 102700. doi: 10.1016/j.media.2022.102700

NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data

2023

Conference Publication

Evaluation of the REFILL dynamic distortion correction method for fMRI

Robinson, Simon, Bachrata, Beata, Eckstein, Korbinian, Dymerska, Barbara, Bollmann, Saskia, Bollmann, Steffen, Hodono, Shota, Cloos, Martijn, Tourell, Monique, Jin, Jin, O'Brien, Kieran, Reutens, David, Trattnig, Siegfried, Enzinger, Christian and Barth, Markus (2023). Evaluation of the REFILL dynamic distortion correction method for fMRI. Joint Annual Meeting ISMRM-ESMRMB ISMRT 31st Annual Meeting, London, United Kingdom, 7 - 12 May 2022. Berkeley, CA, United States: International Society for Magnetic Resonance in Medicine. doi: 10.58530/2022/2807

Evaluation of the REFILL dynamic distortion correction method for fMRI

2023

Conference Publication

Velocity selective arterial spin labelling using parallel transmission

Wu, Chia-Yin, Jin, Jin, Dixon, Carl, Maillet, Donald, Barth, Markus and Cloos, Martijn (2023). Velocity selective arterial spin labelling using parallel transmission. 2022 Joint Annual Meeting ISMRM-ESMRMB and ISMRT 31st Annual Meeting, London, United Kingdom, 7-12 May 2022. Berkeley, CA, United States: International Society for Magnetic Resonance in Medicine. doi: 10.58530/2022/2936

Velocity selective arterial spin labelling using parallel transmission

2023

Conference Publication

Development of a Quantitative Susceptibility Mapping (QSM) phantom for validation of acquisition strategies and post-processing tools at 3 T

Hooper, Padriac, Tourell, Monique, O'Brien, Kieran, Jin, Jin, Robinson, Simon and Barth, Markus (2023). Development of a Quantitative Susceptibility Mapping (QSM) phantom for validation of acquisition strategies and post-processing tools at 3 T. Joint Annual Meeting ISMRM-ESMRMB and ISMRT 31st Annual Meeting, London, United Kingdom, 7-12 May 2022. Berkeley, CA United States: International Society for Magnetic Resonance in Medicine. doi: 10.58530/2022/1983

Development of a Quantitative Susceptibility Mapping (QSM) phantom for validation of acquisition strategies and post-processing tools at 3 T

2023

Conference Publication

Open-Source Hypothalamic-ForniX (OSHy-X) Atlases and Segmentation Tool for 3T and 7T

Chang, Jeryn, Steyn, Frederik, Ngo, Shyuan, Henderson, Robert, Guo, Christine, Bollmann, Steffen, Fripp, Jurgen, Barth, Markus and Shaw, Thomas (2023). Open-Source Hypothalamic-ForniX (OSHy-X) Atlases and Segmentation Tool for 3T and 7T. Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London, United Kingdom, 7-12 May 2022. Concord, CA United States: International Society for Magnetic Resonance in Medicine. doi: 10.58530/2022/3808

Open-Source Hypothalamic-ForniX (OSHy-X) Atlases and Segmentation Tool for 3T and 7T

Current funding

  • 2025 - 2028
    Understanding human brain plasticity and sensory perception
    ARC Discovery Projects
    Open grant
  • 2025 - 2028
    A quantum exoGarment for unrivalled measurement of muscle function in sport
    Quantum 2032 Challenge Program
    Open grant
  • 2024 - 2026
    Predicting functional decline in MND using metabolic body mapping
    Cure for MND Foundation - Impact Grants
    Open grant
  • 2024 - 2025
    AMII: Asia-pacific MND Imaging Initiative (2022 FightMND Collaborative Initiatives Grant administered by The University of Sydney)
    University of Sydney
    Open grant
  • 2024 - 2027
    Defininf Metabolite Dysfunction in Amyotrophic Lateral Sclerosis: Developing Objective Scalable Neuro-Markers of Cortical Hyperexcitability (NHMRC Ideas Grant administered by The University of Sydney)
    University of Sydney
    Open grant
  • 2023 - 2025
    Evaluating the utility of high-resolution MRI in defining cranial nerves in the context of large base of skull lesions (Passe & Williams Foundation grant administered by RBWH)
    Royal Brisbane and Women's Hospital
    Open grant

Past funding

  • 2022 - 2025
    Robust, valid and interpretable deep learning for quantitative imaging
    ARC Linkage Projects
    Open grant
  • 2020 - 2024
    Linking human brain structure to function with ultra-high resolution fMRI
    ARC Discovery Projects
    Open grant
  • 2019 - 2023
    National Imaging Facility Queensland Node (RICF Funds)
    Queensland Government Department of Environment and Science
    Open grant
  • 2017 - 2024
    ARC Training Centre for Innovation in Biomedical Imaging Technology
    ARC Industrial Transformation Training Centres
    Open grant
  • 2016 - 2023
    Improving human fMRI through modeling and imaging microvascular dynamics (NHMRC component of an NHMRC-NIH BRAIN Initiative Collaborative Research Grant)
    NHMRC-NIH BRAIN Initiative Collaborative Research Grants
    Open grant
  • 2015 - 2019
    Development of a processing pipeline for dementia using 7 Tesla MRI that is robust to RF inhomogeneities
    Siemens Ltd
    Open grant
  • 2015 - 2022
    ACRF Facility for Molecular Imaging Agents in Cancer (AFMIAC)
    Australian Cancer Research Foundation
    Open grant
  • 2015 - 2022
    Improved decoding of human brain activity using advanced functional magnetic resonance imaging at ultra-high field strength
    ARC Future Fellowships
    Open grant
  • 2015 - 2018
    High-resolution brain imaging of basal ganglia function
    NHMRC Project Grant
    Open grant
  • 2014 - 2018
    Verifying the safety and image quality of metallic implants at 7T using single and parallel transmit systems
    Siemens Ltd
    Open grant

Availability

Professor Markus Barth is:
Not available for supervision

Supervision history

Current supervision

  • Doctor Philosophy

    Neural Network¿Enhanced Multimodal Brain Electrical Source Imaging and Applications

    Principal Advisor

    Other advisors: Dr Steffen Bollmann

  • Doctor Philosophy

    Evaluating Magnetic Resonance Spectroscopy and Spectroscopic Imaging Techniques in Motor Neuron Disease at 3T and 7T

    Principal Advisor

    Other advisors: Dr Thomas Shaw

  • Doctor Philosophy

    Validation of Quantitative Susceptibility Mapping (QSM) in Magnetic Resonance Imaging

    Principal Advisor

    Other advisors: Dr Monique Tourell

  • Doctor Philosophy

    Development of a framework for quality assurance and quality control for magnetic resonance and molecular imaging modalities

    Principal Advisor

    Other advisors: Dr Monique Tourell

  • Doctor Philosophy

    Additive manufacturing in the patient specific optimisation of intracavitary brachytherapy

    Associate Advisor

    Other advisors: Dr Scott Crowe

  • Doctor Philosophy

    Improving vascular MRI with deep learning.

    Associate Advisor

    Other advisors: Dr Fernanda Lenita Ribeiro, Dr Saskia Bollmann

Completed supervision

Enquiries

Contact Professor Markus Barth directly for media enquiries about:

  • Biomedical engineering
  • Biomedical Imaging
  • Brain imaging
  • Diffusion imaging
  • fMRI
  • Image analysis
  • Image reconstruction
  • Imaging Processing
  • Magnetic Resonance Imaging
  • MR Imaging Techniques
  • MRI
  • Neuroimaging

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