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基于C臂的三维追踪和定位方法综述

A Review of 3-D Tracking and Positioning Methods Based on C-arm
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摘要 基于C臂的三维追踪和定位方法的研究主要通过预测算法来实现。文章主要介绍了现行一些主流的由于呼吸运动引起目标位置不规律变化的预测算法。并对整个预测算法做了归纳和总结,此外,还讨论了它的发展趋势。 The research on 3-D tracking and positioning based on C-arm is mainly completed by the prediction algorithm.This paper mainly introduces some popular prediction algorithms caused by respiration motion which can change the targets position irregularly. Meanwhile, this paper has made a summary and induction about the prediction algorithms. And we discuss the development trends as well.
作者 韩念龙 谢耀钦 安谋 方康玲
机构地区 中国科学院深圳先进技术研究院生物医学与健康工程研究所 武汉科技大学信息科学与工程学院
出处 《集成技术》 2013年第5期83-86,共4页 Journal of Integration Technology
关键词 追踪定位 呼吸运动 预测算法 误差分析 tracking and positioning respiration motion prediction algorithm error analysis
分类号 R318.6 [医药卫生—生物医学工程] TP391.41 [自动化与计算机技术—计算机应用技术]
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参考文献9

  • 1朱超华,陈武凡,徐子海,陈超敏,贺志强.基于双目视觉的呼吸运动实时跟踪方法研究[J].中国生物医学工程学报,2011,30(4):520-527. 被引量：5
  • 2周寿军,周智洋,邱建平,王文辉,尹洪男.基于后验概率的呼吸信号预测[J].中国生物医学工程学报,2009,28(2):213-220. 被引量：2
  • 3S-M Hong,B-H Jung,D Ruan.Real-time prediction of respiratory motion based on a local dynamic model in an augmented space[J].Physics in Medicine and Biology.2011(6)
  • 4Dan Ruan.Prospective detection of large prediction errors: a hypothesis testing approach[J].Physics in Medicine and Biology.2010(13)
  • 5Dan Ruan,Paul Keall.Online prediction of respiratory motion: multidimensional processing with low-dimensional feature learning[J].Physics in Medicine and Biology.2010(11)
  • 6Dan Ruan.Kernel density estimation-based real-time prediction for respiratory motion[J].Physics in Medicine and Biology.2010(5)
  • 7D Ruan,J A Fessler,J M Balter,P J Keall.Real-time profiling of respiratory motion: baseline drift, frequency variation and fundamental pattern change[J].Physics in Medicine and Biology.2009(15)
  • 8N. Riaz,P. Agram,O. Gudmundsson,R. Wiersma,W. Mao,L. Xing.Predicting Fiducial Motion in Respiratory Tumors for Image Guided Radiotherapy[J].International Journal of Radiation Oncology Biology Physics.2008(1)
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二级参考文献24

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共引文献5

集成技术
2013年 第5期

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