Detail

Keywords

Diagnostic Imaging; Magnetic Resonance Imaging; Positron-Emission Tomography

Research group(s)

• QIMP group
  Head: Thomas Beyer, PhD, MBA
  Research Area: Quantitative, combined imaging (PET/CT, PET/MR, SPECT/CT); Supporting clinical adoption of fully integrated PET/MRI; Image-based phenotyping and texture analysis
  Members:
  Denis Krajnc
  Ivo Rausch
  Sebastian Gutschmayer
  Hunor Kertesz
  Lalith Kumar Shiyam Sundar
  Manuel Pires
  Josef Yu
  Daria Ferrara
  Zacharias Chalampalakis
  Thomas Beyer, PhD, MBA
  David Iommi

Selected publications

1. Chalampalakis, Z. et al. (2021) ‘Use of dynamic reconstruction for parametric Patlak imaging in dynamic whole body PET’, Physics in Medicine & Biology, 66(18), p. 185017. Available at: http://dx.doi.org/10.1088/1361-6560/ac2128.
2. Chalampalakis, Z. et al. (2019) ‘Whole-Body dynamic PET: Effect of temporal gaps on FDG Ki quantification from 3D and 4D reconstruction algorithms’, 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) [Preprint]. Available at: http://dx.doi.org/10.1109/nss/mic42101.2019.9059840.
3. Chalampalakis, Z. et al. (2020) ‘Dynamic 4D PET Reconstruction Using the Spectral Model and Adaptive Residual Modelling’, 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) [Preprint]. Available at: http://dx.doi.org/10.1109/nss/mic42677.2020.9507860.
4. Dal Toso, L. et al. (2022) ‘Improved 3D tumour definition and quantification of uptake in simulated lung tumours using deep learning’, Physics in Medicine & Biology, 67(9), p. 095013. Available at: http://dx.doi.org/10.1088/1361-6560/ac65d6.
5. Shiyam Sundar, L.K. et al. (2020) ‘Conditional Generative Adversarial Networks Aided Motion Correction of Dynamic 18F-FDG PET Brain Studies’, Journal of Nuclear Medicine, 62(6), pp. 871–879. Available at: http://dx.doi.org/10.2967/jnumed.120.248856.