Profile photo Bas Raaymakers

Bas Raaymakers

Full Professor

Strategic program(s):

Biography

Bas Raaymakers is working to improve cancer therapy by investigating, as well as developing, new high precision radiotherapy.
Together with prof Jan Lagendijk but also with industrial partners Elekta and Philips he designed and built a hybrid MRI accelerator to facilitate high precision, soft-tissue based image guidance for radiotherapy. This enables better radiotherapy via dose escalation while decreasing toxicity.
At the same time, the translation of this new technology to the clinic is pursued. For instance fast, on-line treatment planning, so that the patient is treated based on the latest state of the anatomy. This improves the current radiotherapy practice and at the same time is a requirement for smooth clinical introduction of the MRI accelerator.
Clinical work flow and procedures for different tumour sites are under investigation. Two major categories can be distinguished: The first is improving the existing radiotherapy patient treatments, so better conform the dose distribution to the tumour shape to minimise harm to the surroundings. The second is enabling radiotherapy as an alternative for surgery for patients currently not eligible for radiotherapy, e.g. highly mobile tumours in the kidney. The motion is too large to safely administer dose with conventional radiotherapy technology, with the on-line MRI guidance the motion uncertainty can be mitigated and radiation can be safely administered, offering a completely non-invasive treatment.

Strategic program(s):

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Research groups

Experimental clinical physics radiotherapy

Research aim

The experimental clinical physics group is developing, exploring and clinically evaluating new adaptive workflows for MRI and X-ray guided radiotherapy, e.g. for the hybrid 1.5T MRI linac which has been developed in UMC Utrecht and is currently on the market via Elekta as the Unity system.

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Recent publications

Treatment planning evaluation and experimental validation of the magnetic resonance-based intrafraction drift correction Madelon van den Dobbelsteen, Sara L. Hackett, Bram van Asselen, Stijn Oolbekkink, Bas W. Raaymakers, Johannes C.J. de Boer
Physics and Imaging in Radiation Oncology, 2024, vol. 30
Generalized div-curl based regularization for physically constrained deformable image registration Paris Tzitzimpasis, Mario Ries, Bas W. Raaymakers, Cornel Zachiu
Scientific Reports, 2024, vol. 14
Automated dose evaluation on daily cone-beam computed tomography for breast cancer patients Maureen Groot Koerkamp, Peter Stijnman, Antonetta Houweling, Cornel Zachiu, Alexis Kotte, Bas Raaymakers
Radiotherapy and Oncology, 2024, vol. 200, p.1-7
On Patient Experience and Anxiety During Treatment With Magnetic Resonance–Guided Radiation Therapy Jasmijn M. Westerhoff, Pim T.S. Borman, Reijer H.A. Rutgers, Bas W. Raaymakers, Neil Winchester, Helena M. Verkooijen, Martin F. Fast
Advances in Radiation Oncology, 2024, vol. 9
Bringing online adaptive radiotherapy to a standard C-arm linac Maureen L. Groot Koerkamp, Gijsbert H. Bol, Petra S. Kroon, Lean L. Krikke, Tessa Harderwijk, Annelies J. Zoetelief, Annick Scheeren, Stefan van der Vegt, Annika Plat, Jochem Hes, Ineke B.A. van Gasteren, Esmee R.T. Renders, Reijer H.A. Rutgers, Saskia W. Kok, Joost van Kaam, Geja J. Schimmel-de Kogel, Gonda G. Sikkes, Dennis Winkel, Michael J. van Rijssel, André J.M. Wopereis, Kübra Ishakoglu, Juus L. Noteboom, Jochem R.N. van der Voort van Zyp, Naomi Beck, Timo F.W. Soeterik, Sandrine M.G. van de Pol, Wietse S.C. Eppinga, Corine A. van Es, Bas W. Raaymakers
Physics and Imaging in Radiation Oncology, 2024, vol. 31
3D gel dosimeter assessment for end-to-end geometric accuracy determination of the online adaptive workflow on the 1.5 T MR-linac Stijn Oolbekkink, Jochem W.H. Wolthaus, Bram van Asselen, Bas W. Raaymakers
Physics and Imaging in Radiation Oncology, 2024, vol. 32

External positions

Member of International Advisory Committee of Physics in Medicine and Biology - adviseren over geschiktheid van artikelen voor PMB - IOP