• DocumentCode
    539510
  • Title

    An Integrated Software for the Performance Study of PET Detector with Neural Network Position Estimators

  • Author

    Lijun, Zhang ; Yonggang, Wang ; Du Junwei ; Jun, Chen ; Yang, Yang

  • Author_Institution
    Dept. of Modern Phys., Univ. of Sci. & Technol. of China, Hefei, China
  • Volume
    1
  • fYear
    2010
  • fDate
    19-20 Dec. 2010
  • Firstpage
    311
  • Lastpage
    313
  • Abstract
    An integrated software has been developed to meet the needs of the performance study of the neural network position estimators for PET detector. The two primary functions of this software are real-time data acquisition and automatic control. In addition to these features, many other useful functions are also designed with the goal of ease of use and consistency of the user interface. In this paper, the techniques based on object-oriented programming(OOP) and Microsoft Foundation Classes(MFC) for real-time data acquiring from USB device and RS-232 device, flicker-free displaying, and automatic control of experiments related to PET are described.
  • Keywords
    data acquisition; integrated software; medical computing; neural nets; object-oriented programming; peripheral interfaces; positron emission tomography; Microsoft Foundation Classes; PET detector; RS-232 device; USB device; automatic control; flicker free displaying; integrated software; neural network position estimator; object oriented programming; real-time data acquisition; Artificial neural networks; Data acquisition; Detectors; Photonics; Positron emission tomography; Real time systems; Software; GUI; MFC; PET data acquisition; automatic control; object-oriented programming; serial port communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering (WCSE), 2010 Second World Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9287-9
  • Type

    conf

  • DOI
    10.1109/WCSE.2010.147
  • Filename
    5718320