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Status: Bibliographieeintrag

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Verfasst von:Wieser, Hans-Peter [VerfasserIn]   i
 Wahl, Niklas [VerfasserIn]   i
 Mescher, Henning [VerfasserIn]   i
 Mairani, Andrea [VerfasserIn]   i
 Ecker, Swantje [VerfasserIn]   i
 Ackermann, Benjamin [VerfasserIn]   i
 Ellerbrock, Malte [VerfasserIn]   i
 Parodi, Katia [VerfasserIn]   i
 Jäkel, Oliver [VerfasserIn]   i
 Bangert, Mark [VerfasserIn]   i
Titel:Development of the open-source dose calculation and optimization toolkit matRad
Verf.angabe:Hans-Peter Wieser, Eduardo Cisternas, Niklas Wahl, Silke Ulrich, Alexander Stadler, Henning Mescher, Lucas-Raphael Müller, Thomas Klinge, Hubert Gabrys, Lucas Burigo, Andrea Mairani, Swantje Ecker, Benjamin Ackermann, Malte Ellerbrock, Katia Parodi, Oliver Jäkel, Mark Bangert
E-Jahr:2017
Jahr:June 2017
Umfang:13 S.
Fussnoten:Gesehen am 14.11.2018
Titel Quelle:Enthalten in: Medical physics
Ort Quelle:Hoboken, NJ : Wiley, 1974
Jahr Quelle:2017
Band/Heft Quelle:44(2017), 6, Seite 2556-2568
ISSN Quelle:2473-4209
 1522-8541
Abstract:Purpose We report on the development of the open-source cross-platform radiation treatment planning toolkit matRad and its comparison against validated treatment planning systems. The toolkit enables three-dimensional intensity-modulated radiation therapy treatment planning for photons, scanned protons and scanned carbon ions. Methods matRad is entirely written in Matlab and is freely available online. It re-implements well-established algorithms employing a modular and sequential software design to model the entire treatment planning workflow. It comprises core functionalities to import DICOM data, to calculate and optimize dose as well as a graphical user interface for visualization. matRad dose calculation algorithms (for carbon ions this also includes the computation of the relative biological effect) are compared against dose calculation results originating from clinically approved treatment planning systems. Results We observe three-dimensional γ-analysis pass rates ≥ 99.67% for all three radiation modalities utilizing a distance to agreement of 2 mm and a dose difference criterion of 2%. The computational efficiency of matRad is evaluated in a treatment planning study considering three different treatment scenarios for every radiation modality. For photons, we measure total run times of 145 s-1260 s for dose calculation and fluence optimization combined considering 4-72 beam orientations and 2608-13597 beamlets. For charged particles, we measure total run times of 63 s-993 s for dose calculation and fluence optimization combined considering 9963-45574 pencil beams. Using a CT and dose grid resolution of 0.3 cm3 requires a memory consumption of 1.59 GB-9.07 GB and 0.29 GB-17.94 GB for photons and charged particles, respectively. Conclusion The dosimetric accuracy, computational performance and open-source character of matRad encourages a future application of matRad for both educational and research purposes.
DOI:doi:10.1002/mp.12251
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext ; Verlag: http://dx.doi.org/10.1002/mp.12251
 Volltext: https://aapm.onlinelibrary.wiley.com/doi/abs/10.1002/mp.12251
 DOI: https://doi.org/10.1002/mp.12251
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:DICOM
 dose calculation
 inverse planning
 optimization
 radiation therapy
K10plus-PPN:1583717633
Verknüpfungen:→ Zeitschrift

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