% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Wieser:128231,
      author       = {H.-P. Wieser$^*$ and E. Cisternas$^*$ and N. Wahl$^*$ and
                      S. Ulrich$^*$ and A. Stadler$^*$ and H. Mescher$^*$ and
                      L.-R. Müller$^*$ and T. Klinge$^*$ and H. Gabrys$^*$ and L.
                      N. Burigo$^*$ and A. Mairani and S. Ecker and B. Ackermann
                      and M. Ellerbrock and K. Parodi and O. Jäkel$^*$ and M.
                      Bangert$^*$},
      title        = {{D}evelopment of the open-source dose calculation and
                      optimization toolkit mat{R}ad.},
      journal      = {Medical physics},
      volume       = {44},
      number       = {6},
      issn         = {0094-2405},
      address      = {New York, NY},
      reportid     = {DKFZ-2017-04248},
      pages        = {2556 - 2568},
      year         = {2017},
      abstract     = {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.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.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 cm(3) requires a
                      memory consumption of 1.59 GB-9.07 GB and 0.29 GB-17.94 GB
                      for photons and charged particles, respectively.The
                      dosimetric accuracy, computational performance and
                      open-source character of matRad encourages a future
                      application of matRad for both educational and research
                      purposes.},
      cin          = {E040 / E210},
      ddc          = {610},
      cid          = {I:(DE-He78)E040-20160331 / I:(DE-He78)E210-20160331},
      pnm          = {315 - Imaging and radiooncology (POF3-315)},
      pid          = {G:(DE-HGF)POF3-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:28370020},
      doi          = {10.1002/mp.12251},
      url          = {https://inrepo02.dkfz.de/record/128231},
}