Research output per year
Research output per year
Personal profile
Research interests
- Research on image guided adaptive radiotherapy (IGART) is combined with advanced radiation treatment planning. Applications of these new treatment techniques are focussing on mobile tumours (e.g. pancreas, stomache, oesophagus and bladder). For the upper abdomen breathing control strategies are being explored to "freeze" the tumor and the organs in a fixed position.
- Main research topics for brachytherapy include: clinical implementation of novel AI-driven dose optimization methods. This is being combined with a novel research line to save the bowlel by quantifying bowel motility during treatment with MRI.
- Hyperthermia shows some exciting new developments: improved treatment planning and new techniques enabling treatment of new indications. Combined optimization of treatment planning of hyperthermia and radiotherapy is explored; this line includes both fundamental biological research and implementation of mathematical biological models in software.
- Our group participates in the Holland proton therapy center. During the coming years we will design image guided proton irradiation techniques for mobile tumors, a presently unexlored area. The potential benefit of either proton or photon therapy will be explored by means of mathematical biological models, a new application for the models as being developed in our other research lines.
Specialisation
Image guided adaptive radiotherapy, radiation treatment planning
Education/Academic qualification
leeropdracht ‘Klinische fysica radiotherapie, in het bijzonder de beeldvorming’, Amsterdam UMC - University of Amsterdam
1 Jun 2021 → …
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Collaborations and top research areas from the last five years
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Research output
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Interfractional position variation of pancreatic tumors quantified using intratumoral fiducial markers and daily cone beam computed tomography
van der Horst, A., Wognum, S., Dávila Fajardo, R., de Jong, R., van Hooft, J. E., Fockens, P., van Tienhoven, G. & Bel, A., 2013, In: International journal of radiation oncology, biology, physics. 87, 1, p. 202-208Research output: Contribution to journal › Article › Academic › peer-review
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Validation of deformable image registration algorithms on CT images of ex vivo porcine bladders with fiducial markers
Wognum, S., Heethuis, S. E., Rosario, T., Hoogeman, M. S. & Bel, A., 2014, In: Medical physics. 41, 7, p. 071916 071916.Research output: Contribution to journal › Article › Academic › peer-review
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Evaluation of delivered dose for a clinical daily adaptive plan selection strategy for bladder cancer radiotherapy
Lutkenhaus, L. J., Visser, J., de Jong, R., Hulshof, M. C. C. M. & Bel, A., 2015, In: Radiotherapy and oncology. 116, 1, p. 51-56Research output: Contribution to journal › Article › Academic › peer-review
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Quantifying the combined effect of radiation therapy and hyperthermia in terms of equivalent dose distributions
Kok, H. P., Crezee, J., Franken, N. A. P., Stalpers, L. J. A., Barendsen, G. W. & Bel, A., 2014, In: International journal of radiation oncology, biology, physics. 88, 3, p. 739-745Research output: Contribution to journal › Article › Academic › peer-review
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A comparison of inverse optimization algorithms for HDR/PDR prostate brachytherapy treatment planning
Dinkla, A. M., van der Laarse, R., Kaljouw, E., Pieters, B. R., Koedooder, K., van Wieringen, N. & Bel, A., 2015, In: Brachytherapy. 14, 2, p. 279-288Research output: Contribution to journal › Article › Academic › peer-review
Datasets
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Non-invasive ventilation in conscious subjects to reduce respiratory motion for improved radiotherapy and imaging quality: a protocol for an evidence map
Veldman, J. K. (contactPerson), Stevens, M. F. (Contributor), Parkes, M. J. (Contributor), Daams, J. G. (Contributor), van Schuppen, J. (Contributor), van den Aardweg, J. G. (Contributor), Palacios, M. A. (Contributor), van Tienhoven, G. (Contributor), Versteijne, E. (Contributor), Bel, A. (Contributor) & van Dijk, I. W. E. M. (Contributor), DataverseNL, 22 Sept 2023
DOI: 10.34894/NBDQLJ, https://doi.org/10.34894/NBDQLJ
Dataset