Software for quantitative analysis of radiotherapy: Overview, requirement analysis and design solutions
Radiotherapy is a fast-developing discipline which plays a major role in cancer care. Quantitative analysis of radiotherapy data can improve the success of the treatment and support the prediction of outcome. In this paper, we first identify functional, conceptional and general requirements on a sof...
Gespeichert in:
| Hauptverfasser: | , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
21 March 2013
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| In: |
Computer methods and programs in biomedicine
Year: 2013, Jahrgang: 110, Heft: 3, Pages: 528-537 |
| ISSN: | 1872-7565 |
| DOI: | 10.1016/j.cmpb.2013.03.002 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.cmpb.2013.03.002 Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S0169260713000783 
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| Verfasserangaben: | Lanlan Zhang, Martina Hub, Sarah Mang, Christian Thieke, Oliver Nix, Christian P. Karger, Ralf O. Floca |
MARC
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| 520 | |a Radiotherapy is a fast-developing discipline which plays a major role in cancer care. Quantitative analysis of radiotherapy data can improve the success of the treatment and support the prediction of outcome. In this paper, we first identify functional, conceptional and general requirements on a software system for quantitative analysis of radiotherapy. Further we present an overview of existing radiotherapy analysis software tools and check them against the stated requirements. As none of them could meet all of the demands presented herein, we analyzed possible conceptional problems and present software design solutions and recommendations to meet the stated requirements (e.g. algorithmic decoupling via dose iterator pattern; analysis database design). As a proof of concept we developed a software library “RTToolbox” following the presented design principles. The RTToolbox is available as open source library and has already been tested in a larger-scale software system for different use cases. These examples demonstrate the benefit of the presented design principles. | ||
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