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用于医用直线加速器机械质量保证的智能手机应用程序。

Smartphone application for mechanical quality assurance of medical linear accelerators.

作者信息

Kim Hwiyoung, Lee Hyunseok, Park Jong In, Choi Chang Heon, Park So-Yeon, Kim Hee Jung, Kim Young Suk, Ye Sung-Joon

机构信息

Interdisciplinary program in Radiation Applied Life Science, Seoul National University College of Medicine, Seoul, Republic of Korea. Department of Radiation Oncology, Jeju National University Hospital, Jeju, Republic of Korea.

出版信息

Phys Med Biol. 2017 Jun 7;62(11):N257-N270. doi: 10.1088/1361-6560/aa67d5. Epub 2017 Mar 20.

Abstract

Mechanical quality assurance (QA) of medical linear accelerators consists of time-consuming and human-error-prone procedures. We developed a smartphone application system for mechanical QA. The system consists of two smartphones: one attached to a gantry for obtaining real-time information on the mechanical parameters of the medical linear accelerator, and another displaying real-time information via a Bluetooth connection with the former. Motion sensors embedded in the smartphone were used to measure gantry and collimator rotations. Images taken by the smartphone's high-resolution camera were processed to evaluate accuracies of jaw-positioning, crosshair centering and source-to-surface distance (SSD). The application was developed using Android software development kit and OpenCV library. The accuracy and precision of the system was validated against an optical rotation stage and digital calipers, prior to routine QA measurements of five medical linear accelerators. The system accuracy and precision in measuring angles and lengths were determined to be 0.05  ±  0.05° and 0.25  ±  0.14 mm, respectively. The mean absolute errors (MAEs) in QA measurements of gantry and collimator rotation were 0.05  ±  0.04° and 0.05  ±  0.04°, respectively. The MAE in QA measurements of light field was 0.39  ±  0.36 mm. The MAEs in QA measurements of crosshair centering and SSD were 0.40  ±  0.35 mm and 0.41  ±  0.32 mm, respectively. In conclusion, most routine mechanical QA procedures could be performed using the smartphone application system with improved precision and within a shorter time-frame, while eliminating potential human errors.

摘要

医用直线加速器的机械质量保证(QA)包含耗时且易出现人为误差的程序。我们开发了一种用于机械质量保证的智能手机应用系统。该系统由两部智能手机组成:一部附着在机架上以获取医用直线加速器机械参数的实时信息,另一部通过与前者的蓝牙连接显示实时信息。嵌入智能手机的运动传感器用于测量机架和准直器的旋转。对智能手机高分辨率相机拍摄的图像进行处理,以评估钳口定位、十字线对中以及源皮距(SSD)的精度。该应用程序是使用安卓软件开发工具包和OpenCV库开发的。在对五台医用直线加速器进行常规质量保证测量之前,该系统的准确性和精密度针对光学旋转台和数字卡尺进行了验证。该系统在测量角度和长度时的准确性和精密度分别确定为0.05±0.05°和0.25±0.14毫米。机架和准直器旋转的质量保证测量中的平均绝对误差(MAE)分别为0.05±0.04°和0.05±0.04°。光野质量保证测量中的MAE为0.39±0.36毫米。十字线对中和SSD质量保证测量中的MAE分别为0.40±0.35毫米和0.41±0.32毫米。总之,使用智能手机应用系统可以在更短的时间内以更高的精度执行大多数常规机械质量保证程序,同时消除潜在的人为误差。

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