MO-FG-303-04: A Smartphone Application for Automated Mechanical Quality Assurance of Medical Accelerators

Authors

  • Kim H,

    1. Interdisciplinary Program in Radiation applied Life Science, College of Medicine, Seoul National University, Seoul, Republic of Korea
    2. Program in Biomedical Radiation Sciences, Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea
    3. Department of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea
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  • Lee H,

    1. Interdisciplinary Program in Radiation applied Life Science, College of Medicine, Seoul National University, Seoul, Republic of Korea
    2. Program in Biomedical Radiation Sciences, Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea
    3. Department of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea
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  • Choi K,

    1. Interdisciplinary Program in Radiation applied Life Science, College of Medicine, Seoul National University, Seoul, Republic of Korea
    2. Program in Biomedical Radiation Sciences, Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea
    3. Department of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea
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  • Ye S

    1. Interdisciplinary Program in Radiation applied Life Science, College of Medicine, Seoul National University, Seoul, Republic of Korea
    2. Program in Biomedical Radiation Sciences, Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea
    3. Department of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea
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Abstract

Purpose:

The mechanical quality assurance (QA) of medical accelerators consists of a time consuming series of procedures. Since most of the procedures are done manually – e.g., checking gantry rotation angle with the naked eye using a level attached to the gantry –, it is considered to be a process with high potential for human errors. To remove the possibilities of human errors and reduce the procedure duration, we developed a smartphone application for automated mechanical QA.

Methods:

The preparation for the automated process was done by attaching a smartphone to the gantry facing upward. For the assessments of gantry and collimator angle indications, motion sensors (gyroscope, accelerator, and magnetic field sensor) embedded in the smartphone were used. For the assessments of jaw position indicator, cross-hair centering, and optical distance indicator (ODI), an optical-image processing module using a picture taken by the high-resolution camera embedded in the smartphone was implemented. The application was developed with the Android software development kit (SDK) and OpenCV library.

Results:

The system accuracies in terms of angle detection error and length detection error were < 0.1° and < 1 mm, respectively. The mean absolute error for gantry and collimator rotation angles were 0.03° and 0.041°, respectively. The mean absolute error for the measured light field size was 0.067 cm.

Conclusion:

The automated system we developed can be used for the mechanical QA of medical accelerators with proven accuracy. For more convenient use of this application, the wireless communication module is under development. This system has a strong potential for the automation of the other QA procedures such as light/radiation field coincidence and couch translation/rotations.

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