@article{KhodaverdiWeberStreunetal.2006,
  author    = {Khodaverdi, M. and Weber, S. and Streun, M. and Parl, C. and Ziemons, Karl},
  title     = {High resolution imaging with ClearPET™ Neuro - first animal images},
  series = {2005 IEEE Nuclear Science Symposium Conference Record, Vol. 3},
  journal   = {2005 IEEE Nuclear Science Symposium Conference Record, Vol. 3},
  isbn      = {1082-3654},
  pages     = {1641 -- 1644},
  year      = {2006},
  abstract  = {The ClearPET™ Neuro is the first full ring scanner within the Crystal Clear Collaboration (CCC). It consists of 80 detector modules allocated to 20 cassettes. LSO and LuYAP:Ce crystals in phoswich configuration in combination with position sensitive photomultiplier tubes are used to achieve high sensitivity and realize the acquisition of the depth of interaction (DOI) information. The complete system has been tested concerning the mechanical and electronical stability and interplay. Moreover, suitable corrections have been implemented into the reconstruction procedure to ensure high image quality. We present first results which show the successful operation of the ClearPET™ Neuro for artefact free and high resolution small animal imaging. Based on these results during the past few months the ClearPET™ Neuro System has been modified in order to optimize the performance.},
  language  = {en}
}
@article{StreunBrandenburgKhodaverdietal.2006,
  author    = {Streun, M. and Brandenburg, G. and Khodaverdi, M. and Larue, H. and Parl, C. and Ziemons, Karl},
  title     = {Timemark correction for the ClearPET™ scanners},
  series = {2005 IEEE Nuclear Science Symposium Conference Record, Vol. 4},
  journal   = {2005 IEEE Nuclear Science Symposium Conference Record, Vol. 4},
  isbn      = {1082-3654},
  pages     = {2057 -- 2060},
  year      = {2006},
  abstract  = {The small animal PET scanners developed by the Crystal Clear Collaboration (ClearPETtrade) detect coincidences by analyzing timemarks which are attached to each event. The scanners are able to save complete single list mode data which allows analysis and modification of the timemarks after data acquisition. The timemarks are obtained from the digitally sampled detector pulses by calculating the baseline crossing of the rising edge of the pulse which is approximated as a straight line. But the limited sampling frequency causes a systematic error in the determination of the timemark. This error depends on the phase of the sampling clock at the time of the event. A statistical method that corrects these errors will be presented},
  language  = {en}
}