% 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{Mann:154398,
      author       = {P. Mann$^*$ and M. Witte$^*$ and P. Mercea$^*$ and S. Nill
                      and C. Lang$^*$ and C. Karger$^*$},
      title        = {{F}easibility of markerless fluoroscopic real-time tumor
                      detection for adaptive radiotherapy: development and
                      end-to-end testing.},
      journal      = {Physics in medicine and biology},
      volume       = {65},
      number       = {11},
      issn         = {1361-6560},
      address      = {Bristol},
      publisher    = {IOP Publ.},
      reportid     = {DKFZ-2020-00738},
      pages        = {115002},
      year         = {2020},
      note         = {2020 Jun 5;65(11):115002#EA:E040#LA:E040#},
      abstract     = {Respiratory-gated radiotherapy treatments of lung tumors
                      reduce the irradiated normal tissue volume and potentially
                      lower the risk of side effects. However, in clinical
                      routine, the gating signal is usually derived from external
                      markers or other surrogate signals and may not always
                      correlate well with the actual tumor position. This study
                      uses the kV-imaging system of a LINAC in combination with a
                      multiple template matching algorithm for markerless
                      real-time detection of the tumor position in a dynamic
                      anthropomorphic lung phantom. The tumor was realized by a
                      small container filled with polymer dosimetry gel, the
                      so-called gel tumor. A full end-to-end test for a gated
                      treatment was performed and the geometric and dosimetric
                      accuracy was validated. The accuracy of the tumor detection
                      algorithm in SI- direction was found to be (2.3±1.6) mm and
                      the gel tumor was automatically detected in 98 out of 100
                      images. The measured 3D dose distribution showed a uniform
                      coverage of the gel tumor and comparison with the treatment
                      plan revealed a high 3D γ-passing rate of 86.7 $\%$
                      $(3\%/3mm).$ The simulated treatment confirmed the employed
                      margin sizes for residual motion within the gating window
                      and serves as an end-to-end test for a gated treatment based
                      on a markerless fluoroscopic real-time tumor detection.},
      cin          = {E040},
      ddc          = {530},
      cid          = {I:(DE-He78)E040-20160331},
      pnm          = {315 - Imaging and radiooncology (POF3-315)},
      pid          = {G:(DE-HGF)POF3-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32235075},
      doi          = {10.1088/1361-6560/ab8578},
      url          = {https://inrepo02.dkfz.de/record/154398},
}