Professor Markus Barth
Professor

Markus Barth

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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

187 works between 1997 and 2026
All (187) Journal Article (147) Other Outputs (5) Conference Publication (32) Book Chapter (3)

81 - 100 of 187 works

2018

Journal Article

PEC-GRAPPA reconstruction of simultaneous multislice EPI with slice-dependent 2D Nyquist ghost correction

Liu, Yilong, Lyu, Mengye, Barth, Markus, Yi, Zheyuan, Leong, Alex T. L., Chen, Fei, Feng, Yanqiu and Wu, Ed X. (2018). PEC-GRAPPA reconstruction of simultaneous multislice EPI with slice-dependent 2D Nyquist ghost correction. Magnetic Resonance in Medicine, 81 (3), 1924-1934. doi: 10.1002/mrm.27546

PEC-GRAPPA reconstruction of simultaneous multislice EPI with slice-dependent 2D Nyquist ghost correction

2018

Journal Article

Robust SENSE reconstruction of simultaneous multislice EPI with low-rank enhanced coil sensitivity calibration and slice-dependent 2D Nyquist ghost correction

Lyu, Mengye, Barth, Markus, Xie, Victor B., Liu, Yilong, Ma, Xin, Feng, Yanqiu and Wu, Ed X. (2018). Robust SENSE reconstruction of simultaneous multislice EPI with low-rank enhanced coil sensitivity calibration and slice-dependent 2D Nyquist ghost correction. Magnetic Resonance in Medicine, 80 (4), 1376-1390. doi: 10.1002/mrm.27120

Robust SENSE reconstruction of simultaneous multislice EPI with low-rank enhanced coil sensitivity calibration and slice-dependent 2D Nyquist ghost correction

2018

Conference Publication

Improving FLAIR SAR efficiency by predicting B1-maps at 7T from a standard localizer scan using deep convolutional neural networks

Bollmann, Steffen, Kelly, Samuel, Vegh, Viktor, Rodell, Anders, Tesiram, Yas, Barth, Markus and O'Brien, Kieran (2018). Improving FLAIR SAR efficiency by predicting B1-maps at 7T from a standard localizer scan using deep convolutional neural networks. ISMRM, Paris, France, 17-21 June 2018.

Improving FLAIR SAR efficiency by predicting B1-maps at 7T from a standard localizer scan using deep convolutional neural networks

2018

Conference Publication

7-Tesla Cardiac MRI for ventricular and valvular quantitation in healthy volunteers

Hamilton-Craig, C., Staeb, D., O'Brien, K., Galloway, G. and Barth, M. (2018). 7-Tesla Cardiac MRI for ventricular and valvular quantitation in healthy volunteers. European Society of Cardiology Congress (ESCC 2018), Munich, Germany, 25-29 August 2018. Oxford, United Kingdom: Oxford University Press. doi: 10.1093/eurheartj/ehy565.1163

7-Tesla Cardiac MRI for ventricular and valvular quantitation in healthy volunteers

2018

Conference Publication

Myelin water fraction across the corpus callosum using multi-echo gradient echo at 7T - influence of model settings and flip angle

Thapaliya, Kiran, Vegh, Viktor, Bollmann, Steffen and Barth, Markus (2018). Myelin water fraction across the corpus callosum using multi-echo gradient echo at 7T - influence of model settings and flip angle. ISMRM, Paris, France, 16-21 June 2018.

Myelin water fraction across the corpus callosum using multi-echo gradient echo at 7T - influence of model settings and flip angle

2018

Conference Publication

Echo time dependence in temporal frequency shift curves at 3T and 7T

Sood, Surabhi, Reutens, David, Kadamangudi, Shrinath, Barth, Markus and Vegh, Viktor (2018). Echo time dependence in temporal frequency shift curves at 3T and 7T. ISMRM, Paris, France, 16-21 June 2018.

Echo time dependence in temporal frequency shift curves at 3T and 7T

2018

Conference Publication

7T GRE-MRI frequency shifts obtained from signal compartments can differentiate normal from dysplastic tissue in focal epilepsy

Thapaliya, Kiran, Barth, Markus, Bollmann, Steffen, Reutens, David and Vegh, Viktor (2018). 7T GRE-MRI frequency shifts obtained from signal compartments can differentiate normal from dysplastic tissue in focal epilepsy. ISMRM, Paris, France, 16-21 June 2018.

7T GRE-MRI frequency shifts obtained from signal compartments can differentiate normal from dysplastic tissue in focal epilepsy

2018

Journal Article

Patient with ALS with a novel TBK1 mutation, widespread brain involvement, behaviour changes and metabolic dysfunction

McCombe, Pamela A., Ngo, Shyuan T., Guo, Christine Cong, Fazlollahi, Amir, Bollmann, Saskia, Wang, Liting, Hu, Xintao, Barth, Markus, Salvado, Olivier, Davis, Mark, Ceslis, Amelia, Robinson, Gail, Henderson, Robert D. and Steyn, Frederik J. (2018). Patient with ALS with a novel TBK1 mutation, widespread brain involvement, behaviour changes and metabolic dysfunction. Journal of Neurology, Neurosurgery and Psychiatry, 90 (8), 952-954. doi: 10.1136/jnnp-2018-318823

Patient with ALS with a novel TBK1 mutation, widespread brain involvement, behaviour changes and metabolic dysfunction

2017

Journal Article

Using multi-echo simultaneous multi-slice (SMS) EPI to improve functional MRI of the subcortical nuclei of the basal ganglia at ultra-high field (7T)

Puckett, Alexander M., Bollmann, Saskia, Poser, Benedikt A., Palmer, Jake, Barth, Markus and Cunnington, Ross (2017). Using multi-echo simultaneous multi-slice (SMS) EPI to improve functional MRI of the subcortical nuclei of the basal ganglia at ultra-high field (7T). NeuroImage, 172, 886-895. doi: 10.1016/j.neuroimage.2017.12.005

Using multi-echo simultaneous multi-slice (SMS) EPI to improve functional MRI of the subcortical nuclei of the basal ganglia at ultra-high field (7T)

2017

Journal Article

Assessment of microstructural signal compartments across the corpus callosum using multi-echo gradient recalled echo at 7 T

Thapaliya, Kiran, Vegh, Viktor, Bollmann, Steffen and Barth, Markus (2017). Assessment of microstructural signal compartments across the corpus callosum using multi-echo gradient recalled echo at 7 T. NeuroImage, 182, 407-416. doi: 10.1016/j.neuroimage.2017.11.029

Assessment of microstructural signal compartments across the corpus callosum using multi-echo gradient recalled echo at 7 T

2017

Journal Article

Measuring the effects of attention to individual fingertips in somatosensory cortex using ultra-high field (7T) fMRI

Puckett, Alex, Bollmann, Saskia, Barth, Markus and Cunnington, Ross (2017). Measuring the effects of attention to individual fingertips in somatosensory cortex using ultra-high field (7T) fMRI. NeuroImage, 161, 179-187. doi: 10.1016/j.neuroimage.2017.08.014

Measuring the effects of attention to individual fingertips in somatosensory cortex using ultra-high field (7T) fMRI

2017

Journal Article

Serial correlations in single-subject fMRI with sub-second TR

Bollmann, Saskia, Puckett, Alexander M., Cunnington, Ross and Barth, Markus (2017). Serial correlations in single-subject fMRI with sub-second TR. NeuroImage, 166, 152-166. doi: 10.1016/j.neuroimage.2017.10.043

Serial correlations in single-subject fMRI with sub-second TR

2017

Journal Article

Diffusion parameter mapping with the combined intravoxel incoherent motion and kurtosis model using artificial neural networks at 3 T

Bertleff, Marco, Domsch, Sebastian, Weingärtner, Sebastian, Zapp, Jascha, O'Brien, Kieran, Barth, Markus and Schad, Lothar R (2017). Diffusion parameter mapping with the combined intravoxel incoherent motion and kurtosis model using artificial neural networks at 3 T. NMR in biomedicine, 30 (12) e3833, 1-11. doi: 10.1002/nbm.3833

Diffusion parameter mapping with the combined intravoxel incoherent motion and kurtosis model using artificial neural networks at 3 T

2017

Journal Article

The challenge of bias-free coil combination for quantitative susceptibility mapping at ultra-high field

Bollmann, Steffen, Robinson, Simon Daniel, O'Brien, Kieran, Vegh, Viktor, Janke, Andrew, Marstaller, Lars, Reutens, David and Barth, Markus (2017). The challenge of bias-free coil combination for quantitative susceptibility mapping at ultra-high field. Magnetic Resonance in Medicine, 79 (1), 97-107. doi: 10.1002/mrm.26644

The challenge of bias-free coil combination for quantitative susceptibility mapping at ultra-high field

2017

Journal Article

A time-efficient acquisition protocol for multipurpose diffusion-weighted microstructural imaging at 7 Tesla

Sepehrband, Farshid, O'Brien, Kieran and Barth, Markus (2017). A time-efficient acquisition protocol for multipurpose diffusion-weighted microstructural imaging at 7 Tesla. Magnetic Resonance in Medicine, 78 (6), 2170-2184. doi: 10.1002/mrm.26608

A time-efficient acquisition protocol for multipurpose diffusion-weighted microstructural imaging at 7 Tesla

2017

Conference Publication

Non-Linear Realignment Using Minimum Deformation Averaging for Single-Subject FMRI at Ultra-High Field

Saskia Bollmann, Steffen Bollmann, Alex Puckett, Andrew Janke and Markus Barth (2017). Non-Linear Realignment Using Minimum Deformation Averaging for Single-Subject FMRI at Ultra-High Field. ISMRM, Honolulu, 22-27 April 2017.

Non-Linear Realignment Using Minimum Deformation Averaging for Single-Subject FMRI at Ultra-High Field

2017

Other Outputs

MP2RAGE T1-weighted average 7T model

Bollmann, Steffen, Janke, Andrew, Marstaller, Lars, Reutens, David, O'Brien, Kieran and Barth, Markus (2017). MP2RAGE T1-weighted average 7T model. The University of Queensland. (Dataset) doi: 10.14264/uql.2017.266

MP2RAGE T1-weighted average 7T model

2017

Conference Publication

Deep Mapping: Using deep convolutional neural networks to estimate quantitative T1 maps trained on a 7 T minimum deformation average model

Bollmann, Steffen, Andrew Janke and Markus Barth (2017). Deep Mapping: Using deep convolutional neural networks to estimate quantitative T1 maps trained on a 7 T minimum deformation average model. ISMRM, Honolulu, 22-27 April 2017.

Deep Mapping: Using deep convolutional neural networks to estimate quantitative T1 maps trained on a 7 T minimum deformation average model

2017

Other Outputs

GRE and QSM average 7T model

Bollmann, Steffen, Janke, Andrew, Marstaller, Lars, Reutens, David, O'Brien, Kieran and Barth, Markus (2017). GRE and QSM average 7T model. The University of Queensland. (Dataset) doi: 10.14264/uql.2017.178

GRE and QSM average 7T model

2017

Conference Publication

Contrast Matching of Ultra-High Resolution Minimum Deformation Averaged MRI Models to Facilitate Computation of a Multi-Modal Model of the Human Brain

J. Munk, N. Jacobsen, M. Plocharski, L. R. Østergaard, M. Barth, A. Janke and S. Bollmann (2017). Contrast Matching of Ultra-High Resolution Minimum Deformation Averaged MRI Models to Facilitate Computation of a Multi-Modal Model of the Human Brain. ISMRM, Honolulu, 22-27 April 2017.

Contrast Matching of Ultra-High Resolution Minimum Deformation Averaged MRI Models to Facilitate Computation of a Multi-Modal Model of the Human Brain

Current funding

  • 2026 - 2029
    Characterising blood oxygenation changes in functional human brain imaging
    ARC Discovery Projects
    Open grant
  • 2026 - 2029
    Deuterium Metabolic Imaging as a New Window on Glucose Metabolism in Motor Neuron Diseases
    Motor Neurone Disease Research Institute of Australia Postdoctoral Fellowships
    Open grant
  • 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 - 2027
    Predicting functional decline in MND using metabolic body mapping
    Cure for MND Foundation - Impact Grants
    Open grant
  • 2024 - 2026
    AMII: Asia-pacific MND Imaging Initiative (2022 FightMND Collaborative Initiatives Grant administered by The University of Sydney)
    University of Sydney
    Open grant
  • 2024 - 2027
    Defining 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

Past funding

  • 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 - 2025
    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

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

    Principal Advisor

    Other advisors: Dr Kieran O'Brien, Dr Thomas Shaw

  • 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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