Detail

Keywords

Mammography; Observer Variation; Surgical Procedures, Minimally Invasive

Research group(s)

• Task Specific Phantoms and Test Objects for Medical Imaging
  Head: Johann Hummel
  Members:
  Johann Hummel
• Linear System Theory in Ultrasound
  Head: Johann Hummel
  Members:
  Johann Hummel

Research interests

• Fusion of Ultrasound and CT images
• Navigation systems for clinical interventions
• Image Guidance in Radiation therapy
• Applied linear systems in diagnostic radiology
• Applied linear systems in ultrasound
• 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.

Grants

• 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: http://dx.doi.org/10.1118/1.4795129.
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: http://dx.doi.org/10.1088/0031-9155/53/16/006.
3. Iommi, D. et al. (2021) ‘3D ultrasound guided navigation system with hybrid image fusion’, Scientific Reports, 11(1). Available at: http://dx.doi.org/10.1038/s41598-021-86848-1.
4. Salomon, E. et al. (2019) ‘Comparison of a personalized breast dosimetry method with standard dosimetry protocols’, Scientific Reports, 9(1). Available at: http://dx.doi.org/10.1038/s41598-019-42144-7.
5. Salomon, E. et al. (2023) ‘Technical note: Realization and uncertainty analysis for an adjustable 3D structured breast phantom in digital breast tomosynthesis’, Medical Physics, 50(8), pp. 4816–4824. Available at: http://dx.doi.org/10.1002/mp.16600.