A new technique is described to model (internal) radiation therapy. It is founded on morphological processing, in particular distance transforms. Its formal basis is presented as well as its implementation via the Fast Exact Euclidean Distance (FEED) transform. Its use for all variations of internal radiation therapy is described. In a benchmark trial, FEED proved to be truly exact as well as faster than a comparable technique. These features can be of crucial importance in radiation therapy as the balance between maximization of treatment effect and doses that cause unwanted damage to healthy tissue is fragile. This balance can be secured using the modeling technique presented here.
|Title of host publication||Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms|
|Editors||M. Pellegrini, A. Fred, J. Filipe, H. Gamboa|
|Place of Publication||Portugal|
|Number of pages||6|
|Publication status||Published - 26 Jan 2011|
- HMI-CI: Computational Intelligence
- Distance transform
- HMI-VRG: Virtual Reality and Graphics
- Radiation therapy
van den Broek, E., & Schouten, T. E. (2011). Modeling Internal Radiation Therapy. In M. Pellegrini, A. Fred, J. Filipe, & H. Gamboa (Eds.), Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (pp. 228-233). Portugal: INSTICC PRESS.