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Johann Hummel
Johann Hummel

Center for Medical Physics and Biomedical Engineering
Position: Associate Professor

T +43 1 40400 39720

Further Information


Mammography; Observer Variation; Surgical Procedures, Minimally Invasive

Research interests

  • Fusion of Ultrasound and CT images
  • Navigation systems for clinical interventions
  • Image Guidance in Radiation therapy
  • Applied linear systems in diagnostic radiology
  • Observer Models
  • Image Quality in Tomosythesis

Techniques, methods & infrastructure

 In image QA we investigate automated detection/evaluation and design of QA phantoms in x-ray and nuclear medicine. For navigated surgery we developed AR devices and evaluated th accuracy of CAS systems.


  • Entwicklung und Evaluierung eines 3D Qualitätssicherungsphantoms für Tomosynthese (2017)
    Source of Funding: FFG (Austrian Research Promotion Agency), Bridge 1
    Principal Investigator
  • Image-Guided Sonography and Interventional Image Fusion (2013)
    Source of Funding: FWF (Austrian Science Fund), Schrödinger-Programm
    Principal Investigator
  • Automatic patient positioning in Radio-therapy applying 3D3D registration (2012)
    Source of Funding: OeNB (Oesterreichische Nationalbank), Anniversary Funds
    Principal Investigator
  • An interactive Visualization System for Image guided endoscopic Procedures in Gastroenterology (2009)
    Source of Funding: FWF (Austrian Science Fund), Translational-Research-Programm
    Principal Investigator

Selected publications

  1. Kaar, M. et al., 2013. Automatic patient alignment system using 3D ultrasound. Medical Physics, 40(4), p.041714. Available at:
  2. Hummel, J. et al., 2008. 2D/3D registration of endoscopic ultrasound to CT volume data. Physics in Medicine and Biology, 53(16), pp.4303-4316. Available at:
  3. Hummel, J.B. et al., 2005. Design and application of an assessment protocol for electromagnetic tracking systems. Medical Physics, 32(7Part1), pp.2371-2379. Available at:
  4. Hirtl, A. et al., 2017. Technical Note: Fully-automated analysis of Jaszczak phantom measurements as part of routine SPECT quality control. Medical Physics, 44(5), pp.1638-1645. Available at:
  5. Figl, M. et al., 2016. Spectrum optimization for computed radiography mammography systems. Physica Medica, 32(8), pp.1034-1039. Available at: