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Modeling and performance evaluation of a robotic treatment couch for tumor tracking

Jöhl, Alexander ; Lang, Stephanie ; Ehrbar, Stefanie ; Guckenberger, Matthias ; Klöck, Stephan ; Meboldt, Mirko ; Schmid Daners, Marianne

In: Biomedical Engineering / Biomedizinische Technik, 2016, vol. 61, no. 5, p. 557-566

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    Titel
    • Modeling and performance evaluation of a robotic treatment couch for tumor tracking
    Autor
    • Jöhl, Alexander. Product Development Group Zurich, Department of Mechanical and Process Engineering, ETH Zurich, Zurich 8092, Switzerland
    • Lang, Stephanie. Department of Radiation Oncology, University Hospital Zurich, Zurich 8091, Switzerland
    • Ehrbar, Stefanie. Department of Radiation Oncology, University Hospital Zurich, Zurich 8091, Switzerland
    • Guckenberger, Matthias. Department of Radiation Oncology, University Hospital Zurich, Zurich 8091, Switzerland
    • Klöck, Stephan. Department of Radiation Oncology, University Hospital Zurich, Zurich 8091, Switzerland
    • Meboldt, Mirko. Product Development Group Zurich, Department of Mechanical and Process Engineering, ETH Zurich, Zurich 8092, Switzerland
    • Schmid Daners, Marianne. Product Development Group Zurich, Department of Mechanical and Process Engineering, ETH Zurich, Zurich 8092, Switzerland
    Dokumententyp
    • Postprint
    Sprache
    • Deutsch
    Veröffentlicht in
    • Biomedical Engineering / Biomedizinische Technik, 2016, vol. 61, no. 5, p. 557-566. De Gruyter
    Andere elektronische Ausgabe
    OAI-PMH-ID
    • oai:doc.rero.ch:324840
    Summary
    Tumor motion during radiation therapy increases the irradiation of healthy tissue. However, this problem may be mitigated by moving the patient via the treatment couch such that the tumor motion relative to the beam is minimized. The treatment couch poses limitations to the potential mitigation, thus the performance of the Protura (CIVCO) treatment couch was characterized and numerically modeled. The unknown parameters were identified using chirp signals and verified with one-dimensional tumor tracking. The Protura tracked chirp signals well up to 0.2 Hz in both longitudinal and vertical directions. If only the vertical or only the longitudinal direction was tracked, the Protura tracked well up to 0.3 Hz. However, there was unintentional yet substantial lateral motion in the former case. And during vertical motion, the extension caused rotation of the Protura around the lateral axis. The numerical model matched the Protura up to 0.3 Hz. Even though the Protura was designed for static positioning, it was able to reduce the tumor motion by 69% (median). The correlation coefficient between the tumor motion reductions of the Protura and the model was 0.99. Therefore, the model allows tumor-tracking results of the Protura to be predicted.