Research
The research programme is structured in three core areas:
Research Area A - Computing
Computing is a research area where technologies that can benefit several applications are explored and developed, with emphasis on advanced modelling of radiation transport by Monte Carlo methods (MC) and image processing by machine learning algorithms.
Research Area B - Imaging
This area comprises research in imaging using multiple modalities, e.g. phase-contrast X-ray imaging, single photon counting for spectral CT, dual energy computed tomography (DECT), hybrid PET/MRI systems and advanced MRI sequences for functional imaging, fingerprinting and radiomics.
Research Area C - Therapy
Research area C will address fundamentally new developments in pre-clinical external radiotherapy (RT) based on laser-accelerated protons, as well as advance treatment techniques already in clinical use, namely external radiotherapy with photons and neutrons, internal radionuclide therapy and photodynamic therapy.
Topic | Principal Investigator(s) / Co-PI(s) | Doctoral Candidate(s) |
---|---|---|
A1 Hybrid patient model for MC computing | K. Parodi / G. Dedes | E. Kollitz |
A2 Automated image segmentation for RT planning | B. Menze, S. Combs | F. Navarro |
Topic | Principal Investigator(s) / Co-PI(s) | Doctoral candidate(s) |
---|---|---|
C1 - Ionoacoustic detection of laser-driven ion beams | J. Schreiber, K. Parodi | S. Gerlach |
C2 - Secondary neutrons at laser-driven proton sources | W. Rühm | M. Tisi |
C3 - Neutron therapy planning | J. Wilkens, S. Combs | L. Sommer |
C4 - Adaptive radiotherapy physics | C. Belka / F. Kamp | M. Rabe |
C5 - MC based dosimetry for radionuclide therapy | S. Ziegler / G. Böning, H. Ilhan | J. Brosch-Lenz, |
C6 - Interstitial photodynamic therapy | R. Sroka / A. Rühm | M. Aumiller, C. Heckl (assoc) |