Abk�rzung zur Hauptnavigation Abk�rzung zu den Newsmeldungen Abk�rzung zu den Topstories  
Deutsche Version Deutsche Version
  MedUni Vienna    Intranet    MedUni Vienna - Shop    University Library    University Hospital Vienna  
 
Med_Physik_EN.png
 
 
 
Hauptnavigation
  • Home
  • General Information
    • Team and Contact
    • Jobs
    • Projects for students
    • History
    • Archive for 2017
  • Services
  • Education
  • Science & Research
    • Biophotonics
    • Cardiovascular Engineering
    • Conventional Imaging
    • Magnetic Resonance
    • Medical Additive Manufacturing
    • Neuroprosthetics & Rehabilitation Engineering
    • Quantitative Imaging and Medical Physics
    • Research Partners
 
General Information / Team and Contact / Research Groups /
 
Subnavigation
  • Team and Contact
    • Head
    • Administration & Support
    • Research Groups
    • Researchers
    • Adjunct Professors
  • Jobs
  • Projects for students
  • History
  • Archive for 2017


Inhaltsbereich

Quantitative imaging and medical physics team

Team members | Projects | Publications | Completed Theses

Making every photon count.

QIMP “Quantitative Imaging and Medical Physics” 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

Research Topics

Hybrid Imaging Technology | Data Analytics | AI and quantum computing

Team members

From left to right: (standing) I. Rausch, D. Iommi, H. Kertesz, A. Berger, L. Papp, T. Beyer, B. Geist, P. Schaffarich, C. Spielvogel, (front row) J. Cal-Gonzalez, L. K. S. Sundar, J. A. G. Valladares

Principal Investigator

Thomas Beyer

Postdocs

Barbara Geist
Nuclear Medicine
Ivo Rausch Lalith Kumar Shyiam Sundar

PhD students

July Alejandra Gonzalez Valladares Marko Grahovac
Nuclear Medicine
David Iommi Hunor Kertesz
Denis Krajnc Laszlo Papp Clemens Spielvogel
Nuclear Medicine

Master students

Sarit Alaev Nicole Jurjew

Technical staff

Peter M. Schaffarich

Alumni

  • Alexander Berger
  • Jacobo Cal-Gonzalez
  • Matthew DiFranco
  • S. Ehrenguber
  • Amir Fatemi
  • Kaspar Höschl
  • Corinna Kuderer
  • Martin Lyngby Lassen
  • Theresa Neubauer
  • Ebolyn Nwosu
  • Nina Pötsch
  • M. Raidl
  • Peter Rosenbühler
  • Andreas Tuma
  • Stefan Wampl
  • Andreas Zitterl

Projects

  • 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 Austrian Science Fund (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 Austrian Science Fund (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 the Austrian Society of Nuclear Medicine (OGN)

Publications

Selected peer-reviewed publications

  • Papp, L. et. al., 2018. Personalizing Medicine Through Hybrid Imaging and Medical Big Data Analysis Front. Phys. June
  • Valladares, A. et. 2019. Clinically Valuable Quality Control for PET/MRI Systems: Consensus Recommendation From the HYBRID Consortium, Frontiers in Physics, 2019, 7, 136
  • Rausch, I. et. al., 2019. Performance evaluation of the Vereos PET/CT system according to NEMA NU2-2012 standard. J Nucl Med 60(4): 561-567
  • Shiyam Sundar, L. K. et. al., 2019 The promise of fully-integrated PET/MR imaging: Non-invasive clinical quantification of cerebral glucose metabolism. J Nucl Med, 61 no. 2 276-284
  • Beyer T et al., 2020. What scans we will read: Imaging instrumentation trends in clinical oncology, Cancer Imaging,

    Completed Theses

    • Shiyam Sundar, Lalith Kumar, Personalized neuroimaging for improved assessment of non-lesional epilepsy based on fully-integrated PET/MRI imaging, PhD thesis, Medical university of Vienna, 2019.
    • Rausch, Ivo, Advanced quantification for fully-integrated PET/MRI : implementing MRI-based attenuation correction in clinical routine, PhD thesis, Medical university of Vienna, 2017
    • Lassen, Martin Lyngby, PET Quantification in PET/CT and PET/MR, PhD thesis, Medical university of Vienna, 2017

      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).

      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.

      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.

       
      Print
       
       
      © MedUni Wien | Publishing information | Terms of use | Data Protection | Accessibility |Contact