Detail

Keywords

Image Processing, Computer-Assisted; Medical Physics

Research group(s)

• Conventional Imaging Physics and Image Processing
  Members:
  Christian Kollmann
  Elisabeth Salomon
  Masar Almuttairi
  Wolfgang Birkfellner

Research interests

Wolfgang Birkfellner holds a PhD in medical physics. His scientific interest includes medical image processing, image - guided therapy, tracking hardware for medical applications, medical augmented reality, multimodal image registration, cone-beam CT reconstruction, development and assessment of image-guided surgery software and control software for medical robotics. He is currently a member of the Medical Imaging Cluster Steering Board of the Medical University Vienna, Coordinator for the PhD Program "Medical Physics" and Head of the Postgraduate Program "Medical Physics" - the official course for education of board certified medical physicists in Austria. According to Google Scholar, he is author or co-author of 243 scientific publications, abstracts and book chapters. His current h-index is 42. He is also the main author of the widely used textbook "Medical Image Processing - A Basic Course" which is now published in its third edition.

Selected publications

1. Hatamikia, S. et al. (2022) ‘Source-detector trajectory optimization in cone-beam computed tomography: a comprehensive review on today’s state-of-the-art’, Physics in Medicine & Biology, 67(16), p. 16TR03. Available at: https://doi.org/10.1088/1361-6560/ac8590.
2. Hatamikia, S. et al. (2020) ‘Additively Manufactured Patient-Specific Anthropomorphic Thorax Phantom With Realistic Radiation Attenuation Properties’, Frontiers in Bioengineering and Biotechnology, 8. Available at: https://doi.org/10.3389/fbioe.2020.00385.
3. Renner, A. et al. (2018) ‘A head coil system with an integrated orbiting transmission point source mechanism for attenuation correction in PET/MRI’, Physics in Medicine & Biology, 63(22), p. 225014. Available at: https://doi.org/10.1088/1361-6560/aae9a9.
4. Hauler, F. et al. (2016) ‘Automatic quantification of multi-modal rigid registration accuracy using feature detectors’, Physics in Medicine and Biology, 61(14), pp. 5198–5214. Available at: https://doi.org/10.1088/0031-9155/61/14/5198.
5. Gendrin, C. et al. (2012) ‘Monitoring tumor motion by real time 2D/3D registration during radiotherapy’, Radiotherapy and Oncology, 102(2), pp. 274–280. Available at: https://doi.org/10.1016/j.radonc.2011.07.031.