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Quantitative imaging and medical physics team

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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

Daria Ferrara
Barbara Geist (Nuklearmedizin)
Sebastian Gutschmayer
Masar Al-Muttairi
Manuel Pires
Ivo Rausch
Lalith Kumar Shiyam Sundar
Clemens Spielvogel (Nuklearmedizin)

  • Sarit Alaev
  • Alexander Berger
  • Matthias Blaickner
  • Jacobo Cal-Gonzalez
  • Matthew DiFranco
  • S. Ehrenguber
  • Amir Fatemi
  • 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 (†)
  • Andreas Tuma
  • Stefan Wampl
  • Andreas Zitterl
  • MR visible polymer for medical imaging applications (2022)
    Unterstützt von AWS (Austria Wirtschaftsservice)
  • FDG-PET Imaging for cancer-induced cachexia in lung cancer (2022)
    Unterstützt von EraPerMED
  • Inter-organ communication assessed by FDG-PET in breast cancer patients (2022)
    Unterstützt von EraPerMED
  • Normative database of FDG-PET images and applications in cachexia (2021)
    Unterstützt von Siemens Healthineers
  • Improving Clinical PET imaging for non-optimal positron emitters (2018)
    Unterstützt von Siemens Healthineers (SMS)
  • Low-count-high-quality reconstructions for PET and SPECT (2017)
    Unterstützt von 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)
    Unterstützt von Fonds zur Förderung der wissenschaftlichen Forschung (FWF)
  • [18F]FDG and [18F]NaF-PET Imaging of Vulnerable Plaque (2016)
    Unterstützt von Siemens Healthineers (SMS)
  • Quantification of bone lesions in combined PET/MR and Dual-time point imaging of lesions with PET/MR (2014)
    Unterstützt von Siemens Healthcare (SMS)
  • Multi-centre PET/CT: Quality control, FDG-guidelines and quantification (2013)
    Unterstützt von the Österreichische Gesellschaft für Nuclearmedizin (OGN)
     

    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