Method of Real-time Tracking for Respiratory Motion Based on SIFT Feature Matching

Dong Feng; Sun Li-Ning; Ru Chang-Hai

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Method of Real-time Tracking for Respiratory Motion Based on SIFT Feature Matching

机译：基于SIFT特征匹配的呼吸运动实时跟踪方法

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摘要

In this study, a new non-contact method of cancer detection based on SIFT feature matching is proposed to track real-time the respiratory motion. And a new camera calibration method based on planar and 3D checkerboard templates is proposed to get high accuracy calibration parameters. Experiment results show that cameras calibration accuracy is 0.0365 mm and the biggest movement scope of the marker is not lager than 1.5 mm between the vision measurement and practical measurement in a breathing cycle and can achieve the real-time tracking for respiratory motion.

机译：在这项研究中，提出了一种新的基于SIFT特征匹配的非接触式癌症检测方法，以实时跟踪呼吸运动。提出了一种基于平面和3D棋盘模板的摄像机标定方法，以得到高精度的标定参数。实验结果表明，相机校准精度为0.0365 mm，并且在呼吸周期中，视觉测量值与实际测量值之间的最大移动范围不超过1.5 mm，并且可以实现呼吸运动的实时跟踪。

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《Information Technology Journal》 |2013年第16期|共6页
作者
Dong Feng; Sun Li-Ning; Ru Chang-Hai;
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中图分类自动化技术、计算机技术;
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2. A novel method for SIFT features matching based on feature dimension matching degree [J] . Yao Yang, Jinkang Wei, Ximing Zhan, MATEC Web of Conferences . 2019,第3期

机译：基于特征维匹配度的SIFT特征匹配新方法
3. Speckle tracking in a phantom and feature-based tracking in liver in the presence of respiratory motion using 4D ultrasound. [J] . Harris EJ, Miller NR, Bamber JC, Physics in medicine and biology. . 2010,第12期

机译：使用4D超声，在存在呼吸运动的情况下，幻像中的斑点跟踪和肝脏中基于特征的跟踪。
4. An Improved Method for Real-time Camera Video Mosaic based on SIFT Feature Matching [C] . Xu Jie, Jin Xiangliang, Bai Ruiguang International Conference on Electronics Information and Electrical Engineering . 2012

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5. Real-time tracking of respiratory-induced tumor motion by dose-rate regulation. [D] . Han-Oh, Yeonju Sarah. 2010

机译：通过剂量率调节实时跟踪呼吸诱导的肿瘤运动。
6. Real-Time Tracking by Double Templates Matching Based on Timed Motion History Image with HSV Feature [O] . Zhiyong Li, Pengfei Li, Xiaoping Yu, -1

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7. Real-Time Tracking by Double Templates Matching Based on Timed Motion History Image with HSV Feature [O] . Zhiyong Li, Pengfei Li, Xiaoping Yu, 2014

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8. Real-Time Model-Based Tracking Combining Spatial and Temporal Features [R] . Chaconas, K., Nashman, M. 1991

机译：基于实时模型的跟踪结合时空特征

Method of Real-time Tracking for Respiratory Motion Based on SIFT Feature Matching

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