胸部多模医学图像快速配准  

Rapid thorax multimodal medical image registration

作　　者：李彬[1] 欧陕兴[2] 田联房[1] 余霞[1] 

机构地区：[1]华南理工大学自动化科学与工程学院,广州510640 [2]广州军区广州总医院放射科,广州510010

出　　处：《计算机工程与应用》2009年第33期227-232,共6页Computer Engineering and Applications

基　　金：国家自然科学基金No.30570458;广东省自然科学基金博士启动资助项目(No.8451064101000631)~~

摘　　要：为了实现胸部多模态医学图像的自动配准,提出了一种基于层次B样条自适应自由变形的快速配准方法。首先采用C-V水平集方法实现感兴趣区域的提取,并基于并行计算实现自动配对特征点;接着,采用矩主轴法对多模医学图像进行全局粗配准;最后,基于层次B样条自适应自由变形法对多模态医学图像进行自动细配准,并且采用梯度下降法以及最大信息熵准则加速求自由变形系数。实验证明该方法不仅效率高,而且配准效果好。In order to realize the automatic registration of thorax muhimodal medical images,a rapid image registration method based on hierarchical adaptive free-form deformation is proposed.Firstly,the edge of thorax is extracted by C-V level sets algorithm,and feature points are matched automatically which is based on parallel computing method.Then,the global coarse registration of thorax multimodal medical images is modeled by principal axes algorithm.Finally,the local fine registration of thorax multimodal medical images is realized by a Free-Form Deformation（FFD） based on hierarchical B-splines.Moreover,the FFD parameters are generated rapidly by gradient descent and maximization of mutual information.Experiments demonstrate the good performance of the proposed method.

关 键 词：自适应自由变形法 多模图像配准 层次B样条 梯度下降 并行计算 水平集方法 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术] R319[自动化与计算机技术—计算机科学与技术]