摘要
提出一种基于Kanade-Lucas-Tomasi算法的目标检测与追踪技术,用于放疗场景下实时追踪人体的呼吸运动。实验采用运动参数可调的仿真人体模型实现对人体不同呼吸状态的模拟,同时用摄像头采集运动过程的图像信息。对采集后的图像进行边缘检测和边缘增强等一系列图像预处理后,手动标记图像第一帧的感兴趣区域,通过追踪算法实现对其余帧图像感兴趣区域的自动追踪。经实验结果验证,该算法可以精准地实现对人体体表在不同呼吸状态下的实时追踪,实际归一化后的位移误差小于0.03,该算法能够应用于临床上的呼吸运动检测,利用获取的图像信息及参数指导精准放疗。
In this study,an object detection and tracking technology based on the Kanade-Lucas-Tomasi(KLT)algorithm is proposed in this work,which is applied to tracking human respiratory motion during radiotherapy.In the experiment,a human body model with adjustable motion parameters is used to simulate different breathing states of human body,and the image information of motion process is collected by the camera.After a series of image preprocessing such as edge detection and edge enhancement performed on the collected image,the region of interest in the first frame of the image is manually marked,and automatic tracking of the region of interest in the remaining frames of the image is realized through a tracking algorithm.Experimental results verify that the proposed algorithm can accurately realize real-time tracking of the human body surface in different breathing states,and the actual normalized displacement error is less than 0.03.The algorithm can be applied to clinical respiratory motion detection,and the obtained image information and parameters can be used to guide precise radiotherapy.
作者
刘昕宇
闫铮
段放
戴中颖
Xinyu Liu;Zheng Yan;Fang Duan;Zhongying Dai(School of Information Science and Engineering,Huaqiao University,Xiamen,Fujian 361021,China;Institute of Modern Physics,Chinese Academy of Sciences,Lanzhou,Gansu 730000,China)
出处
《激光与光电子学进展》
CSCD
北大核心
2020年第22期50-58,共9页
Laser & Optoelectronics Progress
基金
华侨大学中青年培育计划(Z16J0070)
中国科学院“西部之光”计划(Y362030XB0)
中国科学院青年创新基金(2017454)
华侨大学研究生科研创新能力培育计划(18014082028)。
