Klinische Fysica

General Information

Medical Physics Radiology supports the medical imaging for nuclear medicine, magnetic resonance imaging and röntgen imaging, including computed tomography. This involves selection, application, protocol optimization and quality control of the existing technologies, but also development and implementation of new techniques and protocols. Medical Physics Radiology pays special attention to the safety of both patients and workers. Research lines vary between radiomics for PET, MRI cartilage imaging, development of anthropomorphic phantoms and human observer models. There are two positions for residents in medical physics in the group. The teaching focusses on medical physics, radiation protection and safety.

Current Projects

  • High frequency RF coil development
  • MultiTransmit MRI
  • MRI cartilage imaging
  • Ultra Low Dose Chest CT
  • 3D printed anthropomorphic phantoms
  • Human observer models
  • Quantitative PET
  • Radiomics for PET


  • Floris van Velden, Medical Physicist, Head of Medical Physics
  • Mette Stam, Medical Physicist
  • Wouter Veldkamp, Medical Physicist
  • Manfred van der Vlies, Medical Physicist
  • Nick de Jong, Medical Physicist
  • Jan Heemskerk, Medical Physicist
  • Sasha Ivashchenko, Medical Physics Resident
  • Thomas Ruytenberg, Medical Physics Resident
  • Dirk Zweers, Radiation Protection Expert


  1. Kamminga, P., De Bruin, P. W., Geleijns, J., and Brazeau, M. D., 2017, X-ray computed tomography library of shark anatomy and lower jaw surface models: Sci. Data, 4, 170047.
  2. Cros, M., Geleijns, J., Joemai, R. M., and Salvado, M., 2016, Perfusion CT of the Brain and Liver and of Lung Tumors: Use of Monte Carlo Simulation for Patient Dose Estimation for Examinations With a Cone-Beam 320-MDCT Scanner: AJR Am. J. Roentgenol., 206, 129-135.
  3. Mansor, S., Boellaard, R., Huisman, M. C., van Berckel, B. N., Schuit, R. C., Windhorst, A. D., Lammertsma, A. A., and van Velden, F. H., 2016, Impact of New Scatter Correction Strategies on High-Resolution Research Tomograph Brain PET Studies: Mol. Imaging Biol., 18, 627-635.
  4. van Velden, F. H., Kramer, G. M., Frings, V., Nissen, I. A., Mulder, E. R., de Langen, A. J., Hoekstra, O. S., Smit, E. F., and Boellaard, R., 2016, Repeatability of Radiomic Features in Non-Small-Cell Lung Cancer [(18)F]FDG-PET/CT Studies: Impact of Reconstruction and Delineation: Mol. Imaging Biol., 18, 788-795.
  5. Geleijns, J., Joemai, R. M., Cros, M., Hernandez-Giron, I., Calzado, A., Dewey, M., and Salvado, M., 2015, A Monte Carlo simulation for the estimation of patient dose in rest and stress cardiac computed tomography with a 320-detector row CT scanner: Phys. Med., 31, 1029-1034.
  6. van der Molen, A. J., Miclea, R. L., Geleijns, J., and Joemai, R. M., 2015, A Survey of Radiation Doses in CT Urography Before and After Implementation of Iterative Reconstruction: AJR Am. J. Roentgenol., 205, 572-577.
  7. Hernandez-Giron, I., Calzado, A., Geleijns, J., Joemai, R. M., and Veldkamp, W. J., 2014, Comparison between human and model observer performance in low-contrast detection tasks in CT images: application to images reconstructed with filtered back projection and iterative algorithms: Br. J. Radiol., 87, 20140014.
  8. van Velden, F. H., Nissen, I. A., Hayes, W., Velasquez, L. M., Hoekstra, O. S., and Boellaard, R., 2014, Effects of reusing baseline volumes of interest by applying (non-)rigid image registration on positron emission tomography response assessments: PLoS. One., 9, e87167.
  9. van der Bijl, N., Joemai, R. M., Mertens, B. J., de, R. A., Veldkamp, W. J., Bax, J. J., Schuijf, J. D., Geleijns, J., and Kroft, L. J., 2013, Effect of dose reduction on image quality and diagnostic performance in coronary computed tomography angiography: Int. J. Cardiovasc. Imaging, 29, 453-461.
  10. Joemai, R. M., Veldkamp, W. J., Kroft, L. J., Hernandez-Giron, I., and Geleijns, J., 2013, Adaptive iterative dose reduction 3D versus filtered back projection in CT: evaluation of image quality: AJR Am. J. Roentgenol., 201, 1291-1297.
  11. van der Molen, A. J., Schilham, A., Stoop, P., Prokop, M., and Geleijns, J., 2013, A national survey on radiation dose in CT in The Netherlands: Insights. Imaging, 4, 383-390.
  12. Geleijns, J., Breatnach, E., Cantera, A. C., Damilakis, J., Dendy, P., Evans, A., Faulkner, K., Padovani, R., Van Der Putten, W., Schad, L., Wirestam, R., and Eudaldo, T., 2012, Core curriculum for medical physicists in radiology. Recommendations from an EFOMP/ESR working group: Insights. Imaging, 3, 197-200.
  13. Joemai, R. M., De Bruin, P. W., Veldkamp, W. J., and Geleijns, J., 2012, Metal artifact reduction for CT: development, implementation, and clinical comparison of a generic and a scanner-specific technique: Med. Phys., 39, 1125-1132.
  14. Hernandez-Giron, I., Geleijns, J., Calzado, A., and Veldkamp, W. J., 2011, Automated assessment of low contrast sensitivity for CT systems using a model observer: Med. Phys., 38 Suppl 1, S25.
  15. Geleijns, J., Wang, J., and McCollough, C., 2010, The use of breast shielding for dose reduction in pediatric CT: arguments against the proposition: Pediatr. Radiol., 40, 1744-1747.
  16. Joemai, R. M., Geleijns, J., and Veldkamp, W. J., 2010, Development and validation of a low dose simulator for computed tomography: Eur. Radiol., 20, 958-966.
  17. Verbist, B. M., Joemai, R. M., Briaire, J. J., Teeuwisse, W. M., Veldkamp, W. J., and Frijns, J. H., 2010, Cochlear coordinates in regard to cochlear implantation: a clinically individually applicable 3 dimensional CT-based method: Otol. Neurotol., 31, 738-744.
  18. Veldkamp, W. J., Joemai, R. M., van der Molen, A. J., and Geleijns, J., 2010, Development and validation of segmentation and interpolation techniques in sinograms for metal artifact suppression in CT: Med. Phys., 37, 620-628.
  19. Veldkamp, W. J., Kroft, L. J., and Geleijns, J., 2009, Dose and perceived image quality in chest radiography: Eur. J. Radiol., 72, 209-217.
  20. Veldkamp, W. J., Kroft, L. J., and Geleijns, J., 2009, Dose and perceived image quality in chest radiography: Eur. J. Radiol., 72, 209-217.
  21. Geleijns, J., Salvado, A. M., De Bruin, P. W., Matter, R., Muramatsu, Y., and McNitt-Gray, M. F., 2009, Computed tomography dose assessment for a 160 mm wide, 320 detector row, cone beam CT scanner: Phys. Med. Biol., 54, 3141-3159.
  22. Meijer, A. B., YL, O., Geleijns, J., and Kroft, L. J., 2008, Meta-analysis of 40- and 64-MDCT angiography for assessing coronary artery stenosis: AJR Am. J. Roentgenol., 191, 1667-1675.
  23. Kroft, L. J., Veldkamp, W. J., Mertens, B. J., van Delft, J. P., and Geleijns, J., 2007, Dose reduction in digital chest radiography and perceived image quality: Br. J. Radiol., 80, 984-988.
  24. Teeuwisse, W., Geleijns, J., and Veldkamp, W., 2007, An inter-hospital comparison of patient dose based on clinical indications: Eur. Radiol., 17, 1795-1805.
  25. van der Molen, A. J. and Geleijns, J., 2007, Overranging in multisection CT: quantification and relative contribution to dose--comparison of four 16-section CT scanners: Radiology, 242, 208-216.


Floris van Velden, Medical Physicist
Department of Radiology
Leiden University Medical Center
Albinusdreef 2, 2333 ZA Leiden
The Netherlands
Phone: +31-71-526-5726
Email: f.h.p.van_velden@lumc.nl