普通摄像机图像引导的放射治疗技术

申国盛

doi:10.3788/OPE.20192706.1405

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普通摄像机图像引导的放射治疗技术

生命科学仪器 | 更新时间：2020-08-13

- 普通摄像机图像引导的放射治疗技术
- Technique of image guided radiotherapy with conventional video cameras
- 光学精密工程 2019年27卷第6期页码：1405-1415
- 作者机构：
  
  1.中国科学院近代物理研究所，甘肃兰州 730000
  2.中国科学院大学，北京 100049
  3.甘肃省重离子束辐射医学应用基础重点实验室，甘肃兰州 730000
  4.中国科学院重离子束辐射生物医学重点实验室，甘肃兰州 730000
- 作者简介：
  
  [ "申国盛(1984-)，男，河南唐河人，博士研究生，助理研究员，2007年于桂林电子科技大学获得学士学位，2011年于华中师范大学获得硕士学位，主要从事医学图像处理，图像引导放射治疗方面研究。E-mail：sgs2005@impcas.ac.cn" ]
- 基金信息：
  
  科技部重点研发计划资助项目(2017YFC0107500);科技部重点研发计划资助项目(2017YFF0205405);甘肃省自然科学基金资助项目(1606RJZA021)
- DOI：10.3788/OPE.20192706.1405
  中图分类号： TP391
- 收稿日期：2019-03-19，
  
  录用日期：2019-4-25，
  
  纸质出版日期：2019-06-15
- 稿件说明：
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申国盛. 普通摄像机图像引导的放射治疗技术[J]. 光学精密工程, 2019,27(6):1405-1415.

Guo-sheng SHEN. Technique of image guided radiotherapy with conventional video cameras[J]. Optics and precision engineering, 2019, 27(6): 1405-1415.
申国盛. 普通摄像机图像引导的放射治疗技术[J]. 光学精密工程, 2019,27(6):1405-1415. DOI： 10.3788/OPE.20192706.1405.

Guo-sheng SHEN. Technique of image guided radiotherapy with conventional video cameras[J]. Optics and precision engineering, 2019, 27(6): 1405-1415. DOI： 10.3788/OPE.20192706.1405.

摘要

图像引导放疗是精准放疗的关键点之一，常规利用X射线的图像引导技术在使用时会带给患者额外的辐射剂量，因此本文研究了一种没有任何副作用的普通摄像机图像引导放疗的技术。将3台普通摄像机安装在实验室内，获取摄像机实时图像，通过设计的自适应背景剔除算法删除图像背景获取感兴趣区域(ROI)，在ROI图像内使用本文改进的ORB角点提取配准算法获取患者实时摆位信息，引导并验证患者摆位。设计光学图像提取患者呼吸信号算法引导运动器官肿瘤的治疗。将一套放疗用热塑膜固定的仿真体模放置在实验室中模拟患者治疗，通过多次测试，证明了本技术患者摆位偏移量精度为1 mm和1°。通过一套呼吸运动模拟装置测试本文设计的呼吸运动信号提取算法，获得的呼吸运动信号和设定的信号在时间和幅度上达到96%以上的符合度。通过实验室内体模的测试，本技术基本满足图像引导放疗的技术要求。

Abstract

Image guidance plays a major role in precision radiotherapy. Because conventional X-ray image guided techniques used in radiotherapy deliver additional doses to patient

an image guided radiation therapy (IGRT) technique using conventional video cameras that does not cause harm to the patient was investigated in this study. Three conventional video cameras were installed in different directions to acquire real-time images. The backgrounds of the images were deleted using an adaptive background removal algorithm designed in this study

and then the region of interest was obtained. Real-time patient positioning information could be achieved using an oriented FAST and rotated BRIEF algorithm that we modified. Respiratory signals were derived from the real-time images of the conventional video cameras using an algorithm we designed. A plastic patient model immobilized with a thermoplastic shell on a simulation couch was used to verify the accuracy and feasibility of our method. Test results show that the position and angle offset errors identified with our system are less than 1 mm and 1°

respectively. A respiratory motion simulator is designed and used to test the respiratory signal acquirement algorithm we designed. The time and amplitude conformity of the respiratory signals between the setting and acquirement is better than 96%. In our laboratory tests

the developed IGRT technique is shown to satisfy the requirements of image guided radiotherapy.

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references

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