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Quantitative imaging and medical physics team

  1. Center for Medical Physics and Biomedical Engineering
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  4. Quantitative imaging and medical physics team

Making every photon count.

“Quantitative Imaging and Medical Physics” (QIMP) was founded in 2013. The group is associated with a full professorship for “Physics of Medical Imaging – Hybrid Imaging” at the Med Uni Vienna.

The group comprises of a variety of academic and non-academic experts who are united by the intent to provide scientific support to improving healthcare for patients. We are engaged in applied research that helps to clinically anchor the concept of personalized medicine through the use of multi-modal imaging methods.

Research Area

Quantitative imaging and medical physics

Team members

Principal Investigator

Thomas Beyer

P +43 (0)1 40400-39890

thomas.beyer@meduniwien.ac.at

Members

Smaranda Bogoi
Sebastian Gutschmayer
Masar Al-Muttairi
Manuel Pires
Ivo Rausch

  • Sarit Alaev
  • Alexander Berger
  • Matthias Blaickner
  • Jacobo Cal-Gonzalez
  • Zacharias Chalampalakis
  • Matthew DiFranco
  • S. Ehrenguber
  • Amir Fatemi
  • Daria Ferrara
  • Marko Grahovac
  • July Alejandra Gonzalez Valladares
  • Kaspar Höschl
  • David Iommi
  • Nicole Jurjew
  • Hunor Kertesz
  • Corinna Kuderer
  • Denis Krajnc 
  • Martin Lyngby Lassen
  • Manuela Mayrhofer
  • Sasan Moradi
  • Theresa Neubauer
  • Ebolyn Nwosu
  • Laszlo Papp
  • Nina Pötsch
  • M. Raidl
  • Peter Rosenbühler
  • Peter M. Schaffarich (†)
  • Lalith Kumar Shiyam Sundar
  • Andreas Tuma
  • Stefan Wampl
  • Andreas Zitterl
  • Ultra-low-dose PET/CT imaging (2025) 
    supported by Siemens Healthcare Molecular Imaging; PI Thomas Beyer
  • Metabolic mapping of normative metabolism in FDG-PET (2025) 
    FWF (PAT 3538424), joint project with University Hospital Kanazawa, Japan; PI Thomas Beyer
  • HOPE-Holistic, multi-organ assessment of patient undergoing combined theranostics and systemic therapies (2024) 
    supported by ICPO Foundation; PI Thomas Beyer
  • MR-VIPRO - MR-Visible Plastics in Radiation Oncology (2024)
    FFG Projekt; PI Ivo Rausch
  • MR visible polymer for medical imaging applications (2022)
    supported by AWS (Austria Wirtschaftsservice)
  • FDG-PET Imaging for cancer-induced cachexia in lung cancer (2022)
    supported by EraPerMED
  • Inter-organ communication assessed by FDG-PET in breast cancer patients (2022)
    supported by EraPerMED
  • Normative database of FDG-PET images and applications in cachexia (2021)
    supported by Siemens Healthineers
  • Improving Clinical PET imaging for non-optimal positron emitters (2018)
    supported by Siemens Healthineers (SMS)
  • Low-count-high-quality reconstructions for PET and SPECT (2017)
    supported by Fonds zur Förderung der wissenschaftlichen Forschung (FWF)
  • Innovative Training Network towards raising and supporting the next generation of creative and entrepreneurial cross-specialty imaging expert (2017)
    EU Project 764458 “HYBRID” (H2020-MSCA-ITN-2017)
  • Personalized diagnosis of non-lesional epilepsy using simultaneous PET/MR (2016)
    supported by Fonds zur Förderung der wissenschaftlichen Forschung (FWF)
  • [18F]FDG and [18F]NaF-PET Imaging of Vulnerable Plaque (2016)
    supported by Siemens Healthineers (SMS)
  • Quantification of bone lesions in combined PET/MR and Dual-time point imaging of lesions with PET/MR (2014)
    supported by Siemens Healthcare (SMS)
  • Multi-centre PET/CT: Quality control, FDG-guidelines and quantification (2013)
    supported by Österreichische Gesellschaft für Nuclearmedizin (OGN)
     

Selected peer-reviewed publications

Highlights

Consensus recommendation on PET/MRI QC
This guidance document on consensus recommendations on mandatory quality control processes for integrating dual-modality PET/MRI into clinical practice and research was put together by Alejandra Valladares, MSc as part of her engagement in the MSCA ITN “HYBRID” project (2017-21).
to Article
Personalized medicine with hybrid imaging and AI
“Images are data, and data is knowledge.” This comprehensive introduction of the concept of holomics as the next frontier in clinically relevant data sciences was published by Laszlo Papp and colleagues in open access.
to Article
Full quantification pipelines for [18F]FDG-PET imaging of the brain
“Full quantification of metabolic rates of glucose (CMRGlc) is made possible with a fully automated pipeline built on integrated PET/MR data.” This high-level publication was one of the results of the thesis work of Lalith Shiyam Sundar who defended his PhD in 2019.
to Article