一种用于多模态心脏图像配准的统计形状模型构建方法
A Statistical Shape Model Construction Method for Multi-modal Cardiac Image Registration
投稿时间:2019-07-13  修订日期:2019-07-13
DOI:
中文关键词: 统计形状模型  心脏  多模态配准  互信息
英文关键词: statistical shape model  heart  multi-modality registration  mutual information
基金项目:
作者单位E-mail
陆雪松 中南民族大学生物医学工程学院 xslu-scuec@hotmail.com 
郭翔宇 中南民族大学生物医学工程学院  
摘要点击次数: 267
全文下载次数: 0
中文摘要:
      统计形状模型构建的关键在于训练集样本形状的建立和形状特征点的自动提取。本文针对多模态心脏图像的配准问题,提出了一种统计形状模型的构建方法。模型的构建过程主要通过图谱标签图像训练集的建立、模板标签图像形状特征点的提取和模板形状到待标记形状特征点的自动传递来完成。并在此构建方法的基础上,建立左心室统计形状模型指导多模态配准过程。为评估构建方法的有效性,使用心脏CT和MR影像数据集进行多模态配准实验验证。结果表明,基于统计形状模型约束的方法较仅靠互信息的方法配准精度有明显提高。
英文摘要:
      The key of statistical shape model construction lies in the establishment of training set sample shape and the automatic extraction of shape feature points. Aiming at the problem of multi-modal heart image registration, a method to build a statistical shape model is proposed in this paper. The model construction process is mainly completed by establishing the train set of atlas label image, extraction of shape feature points in template label image and automatic transfer of feature points from template shape to the shape to be marked. On the basis of this construction method, statistical shape model of the left ventricle is established to guide the multi-modal registration process. To assess the effectiveness of the construction method, the use of cardiac CT and MR datasets validate multimodal registration. The experimental results show that the proposed method can improve registration accuracy compared to the method using mutual information only.
View Fulltext   查看/发表评论  下载PDF阅读器
关闭