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@ARTICLE{Schlegel:306540,
      author       = {P. Schlegel$^*$ and R. Kirchgässner$^*$ and P.
                      Ochoa-Parra$^*$ and L. Kelleter$^*$ and M. Gertz and R.
                      Mikut and O. Jaekel$^*$ and M. Martisikova$^*$},
      title        = {{A} data analysis framework for in vivo monitoring in
                      carbon-ion radiotherapy ({CIRT}): towards 3{D}
                      reconstruction of interfractional anatomical changes.},
      journal      = {Physics in medicine and biology},
      volume       = {nn},
      issn         = {0031-9155},
      address      = {Bristol},
      publisher    = {IOP Publ.},
      reportid     = {DKFZ-2025-02605},
      pages        = {nn},
      year         = {2025},
      note         = {#EA:E040#LA:E040# / epub},
      abstract     = {Carbon-ion radiotherapy (CIRT) is a cancer treatment
                      modality with exceptional precision and effectiveness
                      compared to conventional X-ray therapy. Our goal is to
                      support maintaining its precise dose administration
                      throughout a multi- fractional radiation treatment by
                      detecting possible anatomical changes decremental to
                      conformal dose deposition without the need for additional
                      imaging. To that end our work group has developed a custom
                      detection system using TimePix3 trackers during treatment to
                      detect the naturally occurring secondary charged particles,
                      which carry information about the irradiated region. This
                      enables treatment-day accurate In-vivo monitoring of patient
                      anatomy without requiring additional imaging. Our goal is to
                      provide a robust and extensible methodological framework
                      that allows us to extract relevant information supporting
                      clinical decision making.Comparing the measurements of
                      different states of the same patient, we aim to determine if
                      an anatomical change is present and at what location it
                      occurred. Departing from solely utilizing statistical
                      differences in local particle counts, the presented method
                      exploits the spectral domain of the measurement differences.
                      We perform a localized spectral analysis and exploit joint
                      localized frequency band variations to robustly identify the
                      location of changes between two measurement states.We show
                      the validity of our approach, reporting the performance
                      results of applying our method to measurements acquired
                      during irradiation experiments using Polymethyl Methacrylate
                      (PMMA) head phantoms carried out at the Heidelberg Ion Beam
                      Therapy Center (HIT). Furthermore, we demonstrate the
                      flexibility of our analysis framework by showing the impact
                      of applying filters or using alternative sub-modules in its
                      multistage processing pipeline.We provide a data-analytical
                      framework as well as basic analytical methods required to
                      extract evidence for the presence of anatomical changes from
                      secondary charged particle measurements for subsequent
                      clinical assessment. These represent essential building
                      blocks required to perform full 3D reconstruction of
                      anatomical changes based solely on secondary particles.},
      keywords     = {Advanced Data Analysis (Other) / Carbon-ion Radiation
                      Therapy (Other) / Medical Physics (Other) / Novel Imaging
                      Methods (Other) / Particle Therapy (Other)},
      cin          = {E040},
      ddc          = {530},
      cid          = {I:(DE-He78)E040-20160331},
      pnm          = {315 - Bildgebung und Radioonkologie (POF4-315)},
      pid          = {G:(DE-HGF)POF4-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:41270374},
      doi          = {10.1088/1361-6560/ae22bb},
      url          = {https://inrepo02.dkfz.de/record/306540},
}