Keywords
Functional Magnetic Resonance; Magnetic Resonance Imaging; Magnetic Resonance Spectroscopy; Ultrahigh field MRI
Research group(s)
- High Field Magnetic Resonance Imaging and Spectroscopy
Research Area: musculoskeletal MR; neuroimaging; metabolic MR imaging and spectroscopy
Members: - intraoperative MRI
Head: Gilbert Hangel
Research Area: Development, optimisation and application of advanced MRI methods (morphological, functional, metabolic) for intraoperative MRI devices
Members: - Molecular Magnetic Resonance Imaging
Head: Wolfgang Bogner
Research Area: Development and clinical evaluation of Molecular Magnetic Resonance Imaging techniques at high (3T) and ultra-high (7T) human whole-body MR scanners
Members:
Research interests
- Magnetic Resonance Spectroscopic Imaging (MRSI)
- Intraoperative MRI
- MR Sequence design and development
- Ultra-high field MR
- MRI and MRSI applications to diseases of the brain (glioma, MS, epilepsy...)
Techniques, methods & infrastructure
- High resolution and ultra-high resolution MRSI of the brain at 7 T
- Non-Cartesian MRSI at 3 T and 7 TT
- MRSI application to patient studies
- Intraoperative MRI
- Advanced MRI protocols for brain tumours
Grants
- 3D 2HG Bildgebung als Biomarker für IDH-Mutation in Gliomen (2017)
Source of Funding: FWF (Austrian Science Fund), Programme Clinical Research
Principal Investigator
Selected publications
- Hangel, G. et al. (2018) ‘Ultra-high resolution brain metabolite mapping at 7 T by short-TR Hadamard-encoded FID-MRSI’, NeuroImage, 168, pp. 199–210. Available at: http://dx.doi.org/10.1016/j.neuroimage.2016.10.043.
- Hangel, G. et al. (2015) ‘Lipid suppression via double inversion recovery with symmetric frequency sweep for robust 2D‐GRAPPA‐accelerated MRSI of the brain at 7 T’, NMR in Biomedicine, 28(11), pp. 1413–1425. Available at: http://dx.doi.org/10.1002/nbm.3386.
- Považan, M. et al. (2015) ‘Mapping of brain macromolecules and their use for spectral processing of 1 H-MRSI data with an ultra-short acquisition delay at 7 T’, NeuroImage, 121, pp. 126–135. Available at: http://dx.doi.org/10.1016/j.neuroimage.2015.07.042.
- Jain, S. et al., 2017. Patch-Based Super-Resolution of MR Spectroscopic Images: Application to Multiple Sclerosis. Frontiers in Neuroscience, 11. Available at: http://dx.doi.org/10.3389/fnins.2017.00013.
- Strasser, B. et al. (2016) ‘(2 + 1)D-CAIPIRINHA accelerated MR spectroscopic imaging of the brain at 7T’, Magnetic Resonance in Medicine, 78(2), pp. 429–440. Available at: http://dx.doi.org/10.1002/mrm.26386.