医学图像配准分类研究

doi:10.11896/j.issn.1002-137X.2015.11.003

摘要/Abstract

摘要： 医学图像配准是医学图像研究领域的一项重要课题。配准种类包括刚性配准和非刚性配准,配准形式包括不同个体间的配准以及同一个体不同图谱的配准。介绍了基于处理流程和基于图像特征的图像配准方法以及基于变形模型的图像配准三大类。非刚性配准比刚性配准在稳定性和计算效率等方面要求更高,技术难度更大,同时具有更重要的应用意义。随着计算机技术的应用和发展,非刚性配准成为一个非常活跃的研究领域,相关的模型和方法备受关注。

关键词: 图像配准,变形模型,流程,特征

Abstract: Medical image registration is an important subject in medical image research field.Registration types include rigid and non-rigid registration,and registration forms include the re-gistration between different individuals and the registration of different atlases of same individual.This paper introduced three categories of image registration based on the processing,image characteristics and deformation respectively.Non-rigid registration technology is more sophisticatedthan the rigid registration both in stability and computing efficiency,and has more important application significance.With the application and development of the computer technology,the non-rigid registration becomes a very active area of research in this field.Related models and methods have drawed people’s attention.

Key words: Image registration,Deformation model,Process,Characteristics

刘益含,闫德勤,刘彩凤. 医学图像配准分类研究[J]. 计算机科学, 2015, 42(11): 22-27. https://doi.org/10.11896/j.issn.1002-137X.2015.11.003

LIU Yi-han, YAN De-qin and LIU Cai-feng. Research on Medical Image Registration Classification[J]. Computer Science, 2015, 42(11): 22-27. https://doi.org/10.11896/j.issn.1002-137X.2015.11.003

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