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BiBTeX citation export for MOCPL05: Software Framework QAClient for Measurement/Automation In Proton Therapy Centers

  author       = {A. Mayor and O. Actis and D. Meer and B. Rohrer},
  title        = {{Software Framework QAClient for Measurement/Automation In Proton Therapy Centers}},
  booktitle    = {Proc. ICALEPCS'19},
  pages        = {86--90},
  paper        = {MOCPL05},
  language     = {english},
  keywords     = {controls, LabView, proton, database, framework},
  venue        = {New York, NY, USA},
  series       = {International Conference on Accelerator and Large Experimental Physics Control Systems},
  number       = {17},
  publisher    = {JACoW Publishing, Geneva, Switzerland},
  month        = {08},
  year         = {2020},
  issn         = {2226-0358},
  isbn         = {978-3-95450-209-7},
  doi          = {10.18429/JACoW-ICALEPCS2019-MOCPL05},
  url          = {https://jacow.org/icalepcs2019/papers/mocpl05.pdf},
  note         = {https://doi.org/10.18429/JACoW-ICALEPCS2019-MOCPL05},
  abstract     = {PSI operates a proton center for cancer treatments consisting of treatment areas Gantry 2, Gantry 3 and OPTIS2. For calibration measurements and quality assurance procedures which have to be executed on a frequent basis and involve different systems and software products, a software framework (QAClient) was developed at PSI. QAClient provides a configurable and extensible framework communicating with PSI control systems, measurement devices, databases and commercial products as LabVIEW and MATLAB. It supports automation of test protocols with user interaction, data analysis and data storage as well as generating of reports. It runs on Java and on different operating system platforms and offers an intuitive graphical user interface. It is used for clinical checks, calibration and tuning measurements, system integration tests and patient table calibrations. New tasks can be configured using standard tasks, without programming effort. QAClient is used for Gantry 2 Daily Check which reduces the execution time by 70% and simplifies measurements so less trained staff can execute it. QA reports are generated automatically and data gets archived and can be used for trend analysis.},