计算机科学 ›› 2010, Vol. 37 ›› Issue (7): 27-33.

• 综述 • 上一篇    下一篇

医学图像配准技术进展

李雄飞,张存利,李鸿鹏,减雪柏   

  1. (吉林大学计算机科学与技术学院 长春130012);(吉林大学第二临床医院放射线科 长春130041)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受吉林省科技发展计划项目(20090468)资助。

Development of Medical Image Registration Technology

LI Xiong-fei,ZHANG Cun-li,LI Hong-peng,ZANG Xue-bai   

  • Online:2018-12-01 Published:2018-12-01

摘要: 医学图像配准对提高临床诊断治疗、病情监测、外科手术水平等有积极作用。以一个医学图像配准配框架为主线,综述了配准框架各模块所涉及的经典算法、新技术,并对相关性能进行了分析。此外,还涉及医学图像配准开发平台、测试数据库及评估标准等。全面地总结了医学图像配准技术的最新进展。

关键词: 医学图像配准,非刚体,插值,相似性测度,优化算法

Abstract: Medical image registration plays a positive role in clinical diagnosis and treatment, illness monitoring, surgery and so on. With a medical image registration framework as the mainline,this paper presented an overview of classic algorithms and new technologies involved in the various modules of the framework, as well as related performance analysis. Moreover, this paper also involveed the development platform, test database and evaluation criteria, giving a comprehensive summary of the latest development of medical image registration technology.

Key words: Medical image registration, Nonrigid, Interpolation, Similarity metric, Optimization

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