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), unknown

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

172 works between 1997 and 2024
All (172) Journal Article (137) Book Chapter (4) Conference Publication (27) Other Outputs (4)

1 - 20 of 172 works

Featured

2016

Journal Article

A cortical vascular model for examining the specificity of the laminar BOLD signal

Markuerkiaga, Irati, Barth, Markus and Norris, David G. (2016). A cortical vascular model for examining the specificity of the laminar BOLD signal. NeuroImage, 132, 491-498. doi: 10.1016/j.neuroimage.2016.02.073

A cortical vascular model for examining the specificity of the laminar BOLD signal

Featured

2016

Journal Article

Pulsed arterial spin labelling at ultra-high field with a B1 +-optimised adiabatic labelling pulse

Zimmer, Fabian, O'Brien, Kieran, Bollmann, Steffen, Pfeuffer, Josef, Heberlein, Keith and Barth, Markus (2016). Pulsed arterial spin labelling at ultra-high field with a B1 +-optimised adiabatic labelling pulse. Magnetic Resonance Materials in Physics, Biology and Medicine, 29 (3), 463-473. doi: 10.1007/s10334-016-0555-2

Pulsed arterial spin labelling at ultra-high field with a B1 +-optimised adiabatic labelling pulse

Featured

2015

Journal Article

Simultaneous multislice (SMS) imaging techniques

Barth, Markus, Breuer, Felix, Koopmans, Peter J., Norris, David G. and Poser, Benedikt A. (2015). Simultaneous multislice (SMS) imaging techniques. Magnetic Resonance in Medicine, 75 (1), 63-81. doi: 10.1002/mrm.25897

Simultaneous multislice (SMS) imaging techniques

Featured

2015

Journal Article

Fast quantitative susceptibility mapping using 3D EPI and total generalized variation

Langkammer, Christian, Bredies, Kristian, Poser, Benedikt A, Barth, Markus, Reishofer, Gernot, Fan, Audrey Peiwen, Bilgic, Berkin, Fazekas, Franz, Mainero, Caterina and Ropele, Stefan (2015). Fast quantitative susceptibility mapping using 3D EPI and total generalized variation. NeuroImage, 111, 622-630. doi: 10.1016/j.neuroimage.2015.02.041

Fast quantitative susceptibility mapping using 3D EPI and total generalized variation

Featured

2014

Journal Article

A study-specific fMRI normalization approach that operates directly on high resolution functional EPI data at 7 Tesla

Grabner, Günther, Poser, Benedikt A., Fujimoto, Kyoko, Polimeni, Jonathan R., Wald, Lawrence L., Trattnig, Siegfried, Toni, Ivan and Barth, Markus (2014). A study-specific fMRI normalization approach that operates directly on high resolution functional EPI data at 7 Tesla. Neuroimage, 100, 710-714. doi: 10.1016/j.neuroimage.2014.06.045

A study-specific fMRI normalization approach that operates directly on high resolution functional EPI data at 7 Tesla

Featured

2013

Journal Article

Linear reconstruction of perceived images from human brain activity

Schoenmakers, Sanne, Barth, Markus, Heske, Tom and van Gerven, Marcel (2013). Linear reconstruction of perceived images from human brain activity. NeuroImage, 83, 951-961. doi: 10.1016/j.neuroimage.2013.07.043

Linear reconstruction of perceived images from human brain activity

Featured

2013

Journal Article

Generalized inverse imaging (GIN): Ultrafast fMRI with physiological noise correction

Boyacioglu, Rasim and Barth, Markus (2013). Generalized inverse imaging (GIN): Ultrafast fMRI with physiological noise correction. Magnetic Resonance in Medicine, 70 (4), 962-971. doi: 10.1002/mrm.24528

Generalized inverse imaging (GIN): Ultrafast fMRI with physiological noise correction

Featured

2012

Journal Article

Memory stabilization with targeted reactivation during human slow-wave sleep

van Dongen, Eelco V., Takashima, Atsuko, Barth, Markus, Zapp, Jascha, Schad, Lothar R., Paller, Ken A. and Fernandez, Guillén (2012). Memory stabilization with targeted reactivation during human slow-wave sleep. Proceedings of the National Academy of Sciences of the United States of America, 109 (26), 10575-10580. doi: 10.1073/pnas.1201072109

Memory stabilization with targeted reactivation during human slow-wave sleep

Featured

2011

Journal Article

Power independent of number of slices (PINS) radiofrequency pulses for low-power simultaneous multislice excitation

Norris, David G., Koopmans, Peter J., Boyacioglu, Rasim and Barth, Markus (2011). Power independent of number of slices (PINS) radiofrequency pulses for low-power simultaneous multislice excitation. Magnetic Resonance in Medicine, 66 (5), 1234-1240. doi: 10.1002/mrm.23152

Power independent of number of slices (PINS) radiofrequency pulses for low-power simultaneous multislice excitation

Featured

2010

Journal Article

Layer-specific BOLD activation in human V1

Koopmans, Peter J., Barth, Markus and Norris, David G. (2010). Layer-specific BOLD activation in human V1. Human Brain Mapping, 31 (9), 1297-1304. doi: 10.1002/hbm.20936

Layer-specific BOLD activation in human V1

Featured

2010

Journal Article

Three dimensional echo-planar imaging at 7 Tesla

Poser, B. A., Koopmans, P. J., Witzel, T., Wald, L. L. and Barth, M. (2010). Three dimensional echo-planar imaging at 7 Tesla. NeuroImage, 51 (1), 261-266. doi: 10.1016/j.neuroimage.2010.01.108

Three dimensional echo-planar imaging at 7 Tesla

2024

Journal Article

VesselBoost: a Python toolbox for small blood vessel segmentation in human magnetic resonance angiography data

Xu, Marshall, Ribeiro, Fernanda L., Barth, Markus, Bernier, Michaël, Bollmann, Steffen, Chatterjee, Soumick, Cognolato, Francesco, Gulban, Omer F., Itkyal, Vaibhavi, Liu, Siyu, Mattern, Hendrik, Polimeni, Jonathan R., Shaw, Thomas B., Speck, Oliver and Bollmann, Saskia (2024). VesselBoost: a Python toolbox for small blood vessel segmentation in human magnetic resonance angiography data. Aperture Neuro, 4, 1-13. doi: 10.52294/001c.123217

VesselBoost: a Python toolbox for small blood vessel segmentation in human magnetic resonance angiography data

2024

Journal Article

Long-term improvement in hippocampal-dependent learning ability in healthy, aged individuals following high intensity interval training

Blackmore, Daniel G., Schaumberg, Mia A., Ziaei, Maryam, Belford, Samuel, To, Xuan Vinh, O’Keeffe, Imogen, Bernard, Anne, Mitchell, Jules, Hume, Emily, Rose, Grace L., Shaw, Thomas, York, Ashley, Barth, Markus, Cooper, Elizabeth J., Skinner, Tina L., Nasrallah, Fatima, Riek, Stephan and Bartlett, Perry F. (2024). Long-term improvement in hippocampal-dependent learning ability in healthy, aged individuals following high intensity interval training. Aging and Disease. doi: 10.14336/AD.2024.0642

Long-term improvement in hippocampal-dependent learning ability in healthy, aged individuals following high intensity interval training

2024

Journal Article

B1+ inhomogeneity mitigation for diffusion weighted MRI at 7T using TR‐FOCI pulses

Abbasi‐Rad, Shahrokh, Cloos, Martijn A., Jin, Jin, O'Brien, Kieran and Barth, Markus (2024). B1+ inhomogeneity mitigation for diffusion weighted MRI at 7T using TR‐FOCI pulses. Magnetic Resonance in Medicine, 91 (6), 2508-2518. doi: 10.1002/mrm.30024

B1+ inhomogeneity mitigation for diffusion weighted MRI at 7T using TR‐FOCI pulses

2024

Journal Article

Neurochemical predictors of generalised learning induced by brain stimulation and training

Ehrhardt, Shane E., Wards, Yohan, Rideaux, Reuben, Marjańska, Małgorzata, Jin, Jin, Cloos, Martijn A., Deelchand, Dinesh K., Zöllner, Helge J., Saleh, Muhammad G., Hui, Steve C. N., Ali, Tonima, Shaw, Thomas B., Barth, Markus, Mattingley, Jason B., Filmer, Hannah L. and Dux, Paul E. (2024). Neurochemical predictors of generalised learning induced by brain stimulation and training. The Journal of Neuroscience, 44 (21) e1676232024, e1676232024. doi: 10.1523/jneurosci.1676-23.2024

Neurochemical predictors of generalised learning induced by brain stimulation and training

2024

Journal Article

Subcortical and default mode network connectivity is impaired in myalgic encephalomyelitis/chronic fatigue syndrome

Inderyas, Maira, Thapaliya, Kiran, Marshall-Gradisnik, Sonya, Barth, Markus and Barnden, Leighton (2024). Subcortical and default mode network connectivity is impaired in myalgic encephalomyelitis/chronic fatigue syndrome. Frontiers in Neuroscience, 17 1318094. doi: 10.3389/fnins.2023.1318094

Subcortical and default mode network connectivity is impaired in myalgic encephalomyelitis/chronic fatigue syndrome

2024

Journal Article

Three-dimensional EPI with shot-selective CAIPIRIHANA for rapid high-resolution quantitative susceptibility mapping at 3 T

Tourell, Monique, Jin, Jin, Bachrata, Beata, Stewart, Ashley, Ropele, Stefan, Enzinger, Christian, Bollmann, Saskia, Bollmann, Steffen, Robinson, Simon Daniel, O'Brien, Kieran and Barth, Markus (2024). Three-dimensional EPI with shot-selective CAIPIRIHANA for rapid high-resolution quantitative susceptibility mapping at 3 T. Magnetic Resonance in Medicine, 92 (3), 997-1010. doi: 10.1002/mrm.30101

Three-dimensional EPI with shot-selective CAIPIRIHANA for rapid high-resolution quantitative susceptibility mapping at 3 T

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

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

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

Current funding

  • 2025 - 2028
    A quantum exoGarment for unrivalled measurement of muscle function in sport
    Queensland Government Department of Environment, Science and Innovation
    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
  • 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
  • 2017 - 2024
    ARC Training Centre for Innovation in Biomedical Imaging Technology
    ARC Industrial Transformation Training Centres
    Open grant

Past funding

  • 2019 - 2023
    National Imaging Facility Queensland Node (RICF Funds)
    Queensland Government Department of Environment and Science
    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 Viktor Vegh, Dr Monique Tourell

  • Doctor Philosophy

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

    Principal Advisor

    Other advisors: Dr Monique Tourell

  • 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 Viktor Vegh, 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

    Parallel Transmission for Advanced MRI Techniques at Ultra-High Field

    Associate Advisor

    Other advisors: Associate Professor Martijn Cloos

  • 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

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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