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

178 works between 1997 and 2025
All (178) Journal Article (138) Book Chapter (4) Conference Publication (31) Other Outputs (5)

121 - 140 of 178 works

2012

Journal Article

Sleep supports selective retention of associative memories based on relevance for future utilization

van Dongen, Eelco V, Thielen, Jan-Willem, Takashima, Atsuko, Barth, Markus and Fernandez, Guillen (2012). Sleep supports selective retention of associative memories based on relevance for future utilization. PLoS ONE, 7 (8) e43426, e43426.1-e43426.6. doi: 10.1371/journal.pone.0043426

Sleep supports selective retention of associative memories based on relevance for future utilization

2012

Journal Article

Structure Tensor Informed Fiber Tractography (STIFT) by combining gradient echo MRI and diffusion weighted imaging

Kleinnijenhuis, Michael, Barth, Markus, Alexander, Daniel C., van Cappellen van Walsum, Anne-Marie and Norris, David G. (2012). Structure Tensor Informed Fiber Tractography (STIFT) by combining gradient echo MRI and diffusion weighted imaging. NeuroImage, 59 (4), 3941-3954. doi: 10.1016/j.neuroimage.2011.10.078

Structure Tensor Informed Fiber Tractography (STIFT) by combining gradient echo MRI and diffusion weighted imaging

2012

Journal Article

Whole brain, high resolution spin-echo resting state fMRI using PINS multiplexing at 7T

Koopmans, Peter J., Boyacioglu, Rasim, Barth, Markus and Norris, David G. (2012). Whole brain, high resolution spin-echo resting state fMRI using PINS multiplexing at 7T. NeuroImage, 62 (3), 1939-1946. doi: 10.1016/j.neuroimage.2012.05.080

Whole brain, high resolution spin-echo resting state fMRI using PINS multiplexing at 7T

2012

Journal Article

Reference-free unwarping of EPI data using dynamic off-resonance correction with multiecho acquisition (DOCMA)

Visser, Eelke, Poser, Benedikt A., Barth, Markus and Zwiers, Marcel P. (2012). Reference-free unwarping of EPI data using dynamic off-resonance correction with multiecho acquisition (DOCMA). Magnetic Resonance in Medicine, 68 (4), 1247-1254. doi: 10.1002/mrm.24119

Reference-free unwarping of EPI data using dynamic off-resonance correction with multiecho acquisition (DOCMA)

2011

Journal Article

Functional connectivity during light sleep is correlated with memory performance for face-location associations

van Dongen, Eelco V., Takashima, Atsuko, Barth, Markus and Fernandez, Guillén (2011). Functional connectivity during light sleep is correlated with memory performance for face-location associations. NeuroImage, 57 (1), 262-270. doi: 10.1016/j.neuroimage.2011.04.019

Functional connectivity during light sleep is correlated with memory performance for face-location associations

2011

Journal Article

Multi-echo fMRI of the cortical laminae in humans at 7T

Koopmans, Peter J., Barth, Markus, Orzada, Stephan and Norris, David G. (2011). Multi-echo fMRI of the cortical laminae in humans at 7T. NeuroImage, 56 (3), 1276-1285. doi: 10.1016/j.neuroimage.2011.02.042

Multi-echo fMRI of the cortical laminae in humans at 7T

2011

Journal Article

7 Tesla MRI of microbleeds and white matter lesions as seen in vascular dementia

Theysohn, Jens M., Kraff, Oliver, Maderwald, Stefan, Barth, Markus, Ladd, Susanne C., Forsting, Michael, Ladd, Mark E. and Gizewski, Elke R. (2011). 7 Tesla MRI of microbleeds and white matter lesions as seen in vascular dementia. Journal of Magnetic Resonance Imaging, 33 (4), 782-791. doi: 10.1002/jmri.22513

7 Tesla MRI of microbleeds and white matter lesions as seen in vascular dementia

2011

Book Chapter

Functional susceptibility weighted magnetic resonance imaging

Barth, Markus and Rowe, Daniel B. (2011). Functional susceptibility weighted magnetic resonance imaging. Susceptibility Weighted Imaging in MRI: Basic Concepts and Clinical Applications. (pp. 561-576) edited by E. Mark Haacke and Jürgen R. Reichenbach. Hoboken, New Jersey: Wiley-Blackwell. doi: 10.1002/9780470905203.ch30

Functional susceptibility weighted magnetic resonance imaging

2011

Journal Article

Advances in high-field bold fmri

Barth, Markus and Poser, Benedikt A. (2011). Advances in high-field bold fmri. Materials, 4 (11), 1941-1955. doi: 10.3390/ma4111941

Advances in high-field bold fmri

2011

Book Chapter

Automatic vein segmentation and lesion detection: From SWI-MIPs to MR Venograms

Barnes, Samuel, Barth, Markus and Koopmans, Peter (2011). Automatic vein segmentation and lesion detection: From SWI-MIPs to MR Venograms. Susceptibility Weighted Imaging in MRI: Basic Concepts and Clinical Applications. (pp. 605-618) edited by E. Mark Haacke and Jürgen R. Reichenbach. Hoboken, New Jersey: Wiley-Blackwell. doi: 10.1002/9780470905203.ch32

Automatic vein segmentation and lesion detection: From SWI-MIPs to MR Venograms

2010

Journal Article

T2-weighted 3D fMRI using S2-SSFP at 7 tesla

Barth, Markus, Meyer, Heiko, Kannengiesser, Stephan A. R., Polimeni, Jonathan R., Wald, Lawrence L. and Norris, David G. (2010). T2-weighted 3D fMRI using S2-SSFP at 7 tesla. Magnetic Resonance in Medicine, 63 (4), 1015-1020. doi: 10.1002/mrm.22283

T2-weighted 3D fMRI using S2-SSFP at 7 tesla

2010

Journal Article

Susceptibility weighted magnetic resonance imaging of cerebral cavernous malformations: prospects, drawbacks, and first experience at ultra-high field strength (7-Tesla) magnetic resonance imaging.

Dammann,Philipp, Barth, Markus, Zhu, Yuan, Maderwald, Stefan, Schlamann, Marc, Ladd, Mark E. and Sure, Ulrich (2010). Susceptibility weighted magnetic resonance imaging of cerebral cavernous malformations: prospects, drawbacks, and first experience at ultra-high field strength (7-Tesla) magnetic resonance imaging.. Neurosurgical focus, 29 (3), 1-7. doi: 10.3171/2010.6.FOCUS10130

Susceptibility weighted magnetic resonance imaging of cerebral cavernous malformations: prospects, drawbacks, and first experience at ultra-high field strength (7-Tesla) magnetic resonance imaging.

2010

Journal Article

Filtered deconvolution of a simulated and an in vivo phase model of the human brain

Grabner, Gunther, Trattnig, Siegfried and Barth, Markus (2010). Filtered deconvolution of a simulated and an in vivo phase model of the human brain. Journal of Magnetic Resonance Imaging, 32 (2), 289-297. doi: 10.1002/jmri.22246

Filtered deconvolution of a simulated and an in vivo phase model of the human brain

2010

Journal Article

A population-specific symmetric phase model to automatically analyze susceptibility-weighted imaging (SWI) phase shifts and phase symmetry in the human brain

Grabner, Gunther, Haubenberger, Dietrich, Rath, Jakob, Beisteiner, Roland, Auff, Eduard, Trattnig, Siegfried and Barth, Markus (2010). A population-specific symmetric phase model to automatically analyze susceptibility-weighted imaging (SWI) phase shifts and phase symmetry in the human brain. Journal of Magnetic Resonance Imaging, 31 (1), 215-220. doi: 10.1002/jmri.22013

A population-specific symmetric phase model to automatically analyze susceptibility-weighted imaging (SWI) phase shifts and phase symmetry in the human brain

2009

Journal Article

Phase unwrapping of MR images using ΦUN - A fast and robust region growing algorithm

Witoszynskyj, Stephan, Rauscher, Alexander, Reichenbach, Jürgen R. and Barth, Markus (2009). Phase unwrapping of MR images using ΦUN - A fast and robust region growing algorithm. Medical Image Analysis, 13 (2), 257-268. doi: 10.1016/j.media.2008.10.004

Phase unwrapping of MR images using ΦUN - A fast and robust region growing algorithm

2008

Journal Article

MR venography of the human brain using susceptibility weighted imaging at very high field strength

Koopmans, Peter J., Manniesing, Rashindra, Niessen, Wiro J., Viergever, Max A. and Barth, Markus (2008). MR venography of the human brain using susceptibility weighted imaging at very high field strength. Magnetic Resonance Materials in Physics, Biology and Medicine, 21 (1-2), 149-158. doi: 10.1007/s10334-007-0101-3

MR venography of the human brain using susceptibility weighted imaging at very high field strength

2008

Journal Article

T1 mapping of the entire lung parenchyma: Influence of respiratory phase and correlation to lung function test results in patients with diffuse lung disease

Stadler, Alfred, Jakob, Peter M., Griswold, Mark, Stiebellehner, Leopold, Barth, Markus and Bankier, Alexander A. (2008). T1 mapping of the entire lung parenchyma: Influence of respiratory phase and correlation to lung function test results in patients with diffuse lung disease. Magnetic Resonance in Medicine, 59 (1), 96-101. doi: 10.1002/mrm.21446

T1 mapping of the entire lung parenchyma: Influence of respiratory phase and correlation to lung function test results in patients with diffuse lung disease

2008

Journal Article

Improved elimination of phase effects from background field inhomogeneities for susceptibility weighted imaging at high magnetic field strengths

Rauscher, Alexander, Barth, Markus, Herrmann, Karl-Heinz, Witoszynskyj, Stephan, Deistung, Andreas and Reichenbach, Jüergen R. (2008). Improved elimination of phase effects from background field inhomogeneities for susceptibility weighted imaging at high magnetic field strengths. Magnetic Resonance Imaging, 26 (8), 1145-1151. doi: 10.1016/j.mri.2008.01.029

Improved elimination of phase effects from background field inhomogeneities for susceptibility weighted imaging at high magnetic field strengths

2007

Journal Article

Very high-resolution three-dimensional functional MRI of the human visual cortex with elimination of large venous vessels

Barth, M. and Norris, D. G. (2007). Very high-resolution three-dimensional functional MRI of the human visual cortex with elimination of large venous vessels. NMR in Biomedicine, 20 (5), 477-484. doi: 10.1002/nbm.1158

Very high-resolution three-dimensional functional MRI of the human visual cortex with elimination of large venous vessels

2007

Journal Article

Contrast-to-noise ratio (CNR) as a quality parameter in fMRI

Geissler, Alexander, Gartus, Andreas, Foki, Thomas, Tahamtan, Amir Reza, Beisteiner, Roland and Barth, Markus (2007). Contrast-to-noise ratio (CNR) as a quality parameter in fMRI. Journal of Magnetic Resonance Imaging, 25 (6), 1263-1270. doi: 10.1002/jmri.20935

Contrast-to-noise ratio (CNR) as a quality parameter in fMRI

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

    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

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

    Principal Advisor

    Other advisors: Dr Monique Tourell

  • 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

    Development of a deep learning framework for multi-modal medical imaging

    Principal Advisor

    Other advisors: Dr Steffen Bollmann

  • 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

    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

    Magnetic Resonance Spectroscopy in Patients with Motor Neuron Disease at 3T and 7T

    Principal Advisor

    Other advisors: Dr Thomas Shaw

  • Doctor Philosophy

    Neural Network¿Enhanced Multimodal Brain Electrical Source Imaging and Applications

    Principal Advisor

    Other advisors: Dr Steffen Bollmann

  • Doctor Philosophy

    Parallel Transmission for Advanced MRI Techniques at Ultra-High Field

    Associate Advisor

  • Doctor Philosophy

    Improving vascular MRI with deep learning.

    Associate Advisor

    Other advisors: Dr Fernanda Lenita Ribeiro, Dr Saskia Bollmann

  • Doctor Philosophy

    Additive manufacturing in the patient specific optimisation of intracavitary brachytherapy

    Associate Advisor

    Other advisors: Dr Scott Crowe

  • Doctor Philosophy

    Additive manufacturing in the patient specific optimisation of intracavitary brachytherapy

    Associate Advisor

    Other advisors: Dr Scott Crowe

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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