Advanced treatment planning
Treatment planning for protons and heavier ions is adapting technologies originally developed for photon dose optimization, but also has to meet its particular challenges. Since the quality of the applied dose is more sensitive to geometric uncertainties, treatment plan robust optimization has a muc...
Gespeichert in:
| Hauptverfasser: | , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
13 November 2018
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| In: |
Medical physics
Year: 2018, Jahrgang: 45, Heft: 11, Pages: 1011-1023 |
| ISSN: | 2473-4209 |
| DOI: | 10.1002/mp.12943 |
| Online-Zugang: | Verlag, Volltext: http://dx.doi.org/10.1002/mp.12943
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| Verfasserangaben: | Minna Wedenberg, Chris Beltran, Andrea Mairani, Markus Alber |
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| 520 | |a Treatment planning for protons and heavier ions is adapting technologies originally developed for photon dose optimization, but also has to meet its particular challenges. Since the quality of the applied dose is more sensitive to geometric uncertainties, treatment plan robust optimization has a much more prominent role in particle therapy. This has led to specific planning tools, approaches, and research into new formulations of the robust optimization problems. Tools for solution space navigation and automatic planning are also being adapted to particle therapy. These challenges become even greater when detailed models of relative biological effectiveness (RBE) are included into dose optimization, as is required for heavier ions. | ||
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