Department of Biomedical Imaging and Image-guided Therapy
Position: Associate Professor
ORCID: 0000-0002-0130-3463
T +43 1 40400 64710
wolfgang.bogner@meduniwien.ac.at
Keywords
Magnetic Resonance Imaging; Magnetic Resonance Spectroscopy; Multiple Sclerosis; Oncology; 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:
Research interests
I am a passionate developer of new MR imaging techniques, in particular at ultra-high magnetic field strength (7T). My interests range from designing and programming a new MR sequence over experimentall testing at the MR scanner, evaluations in volunteer scans, and clinical translation.
Currently my team is focusing on the development and clinical translation of advanced Molecular MRI techniques. This includes in particular MR spectroscopic imaging (MRSI) and more recently related techniques such as chemical exchange saturation transfer (CEST), but also Diffusion weighted imaging and X-nuclei MRI in general. I have a fair share of expertise in a large variety of image acquisition and image/data processing techniques: RF pulse design, imaging acceleration (rapid k-space trajectory design, coherent and incoherent undersampling, prior knowledge reconstruction), real-time motion and hardware instability correction, dynamic scanner (e.g., B0) updating, coil combination, quantum-mechanical simulations, quantitative MRI (e.g., MR fingerprinting) and deep learning in MRI reconstruction.
We are currently performing several patient studies involving neurological diseases (e.g., Multiple Sclerosis), oncologic topics (e.g., brain tumor, breast cancer), various metabolic disorders (e.g., orphan diseases), and more recently psychiatric disorders.
Techniques, methods & infrastructure
My reasearch focuses in particular on MR spectroscopic imaging (MRSI) and more recently related techniques such as chemical exchange saturation transfer (CEST), but also Diffusion weighted imaging and X-nuclei MRI in general. I have a fair share of expertise in a large variety of image acquisition and image/data processing techniques: RF pulse design, imaging acceleration (rapid k-space trajectory design, coherent and incoherent undersampling, prior knowledge reconstruction), real-time motion and hardware instability correction, dynamic scanner (e.g., B0) updating, coil combination, quantum-mechanical simulations, quantitative MRI (e.g., MR fingerprinting) and deep learning in MRI reconstruction.
Grants
- Tailoring magnetic fields for magnetic resonance imaging (TAI 676) (2021)
Source of Funding: FWF (Austrian Science Fund), 1000 Ideas program
Principal Investigator - Deep learning in MR Spectroscopic Imaging (P 34198) (2020)
Source of Funding: FWF (Austrian Science Fund), stand-alone project
Principal Investigator - Myo-Inositol a new imaging biomarker for Multiple Sclerosis (KLI 718) (2018)
Source of Funding: FWF (Austrian Science Fund), clinical research
Principal Investigator - Ultra-short acquisition delay 3D Spectroscopic Imaging (P 30701) (2018)
Source of Funding: FWF (Austrian Science Fund), stand-alone project
Principal Investigator - Imaging oxidative stress via in vivo quantification of glutathione (846505) (2015)
Source of Funding: FFG (Austrian Research Promotion Agency), Early phase bridge program
Principal Investigator
Selected publications
- Bogner, W. et al. (2009) ‘Diffusion-weighted MR for Differentiation of Breast Lesions at 3.0 T: How Does Selection of Diffusion Protocols Affect Diagnosis?’, Radiology, 253(2), pp. 341–351. Available at: http://dx.doi.org/10.1148/radiol.2532081718.
- Bogner, W. et al. (2012) ‘Readout-segmented Echo-planar Imaging Improves the Diagnostic Performance of Diffusion-weighted MR Breast Examinations at 3.0 T’, Radiology, 263(1), pp. 64–76. Available at: http://dx.doi.org/10.1148/radiol.12111494.
- Bogner, W. et al. (2014) ‘3D GABA imaging with real-time motion correction, shim update and reacquisition of adiabatic spiral MRSI’, NeuroImage, 103, pp. 290–302. Available at: http://dx.doi.org/10.1016/j.neuroimage.2014.09.032.
- Hingerl, L. et al. (2020) ‘Clinical High-Resolution 3D-MR Spectroscopic Imaging of the Human Brain at 7 T’, Investigative Radiology, 55(4), pp. 239–248. Available at: http://dx.doi.org/10.1097/rli.0000000000000626.
- Kreis, R. et al. (2020) ‘Terminology and concepts for the characterization of in vivo MR spectroscopy methods and MR spectra: Background and experts’ consensus recommendations’, NMR in Biomedicine, 34(5). Available at: http://dx.doi.org/10.1002/nbm.4347.