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Lukas Hingerl, PhD

Department of Biomedical Imaging and Image-guided Therapy
Position: Research Associate (Postdoc)

ORCID: 0000-0003-1808-8349


Magnetic Resonance Spectroscopy

Research group(s)

Research interests

Magnetic resonance imaging, spectroscopy, spectroscopic imaging and diffusion weighting. MR sequence programming, MR acceleration methods, (under-) sampling theory (non-Cartesian trajectories, parallel imaging, compressed sensing) and novel reconstruction methods. Metabolism and metabolic quantification and pathway modelling.

Selected publications

  1. Hingerl, L. et al. (2017) ‘Density-weighted concentric circle trajectories for high resolution brain magnetic resonance spectroscopic imaging at 7T’, Magnetic Resonance in Medicine, 79(6), pp. 2874–2885. Available at:
  2. 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:
  3. Moser, P. et al. (2019) ‘Whole-slice mapping of GABA and GABA+ at 7T via adiabatic MEGA-editing, real-time instability correction, and concentric circle readout’, NeuroImage, 184, pp. 475–489. Available at:
  4. Motyka, S. et al. (2021) ‘k‐Space‐based coil combination via geometric deep learning for reconstruction of non‐Cartesian MRSI data’, Magnetic Resonance in Medicine, 86(5), pp. 2353–2367. Available at:
  5. Hangel, G. et al. (2020) ‘High-resolution metabolic imaging of high-grade gliomas using 7T-CRT-FID-MRSI’, NeuroImage: Clinical, 28, p. 102433. Available at: