计算机与数字工程2016，Vol.44Issue(9)：1801-1805,5.DOI:10.3969/j.issn.1672-9722.2016.09.037
结合形状特征点和灰度信息的心脏 DSCT 图像配准磁
Nonrigid Registration of Cardiac DSCT Images by Integrating Intensity and Point-feature
陈昭 1谢勤岚1
作者信息
- 1. 中南民族大学生物医学工程学院 武汉 430074
- 折叠
摘要
Abstract
A nonrigid registration combining mutual information (MI) with marching cubes shape points is proposed . Those points are regarded as a prior knowledge of the shape landmarks of cardiac structure .Mutual information combined with feature point pairs is used as the similarity measure function ,namely a cost function .All feature descriptors of 15 di‐mensions are used to find out matched point pairs between marching cubes points in atlas intensity images and another points in the neighborhood of unseen images needing segmentation .The adaptive stochastic gradient descent (ASGD) optimization is used to obtain optimal registration parameters .Two groups of experiments show that the proposed method achieves higher registration accuracy than traditional MI and more accuracy anatomical information of the whole cardiac structure can be gained .关键词
先验知识/互信息/Marching Cubes/自适应梯度下降法Key words
prior knowledge/MI/Marching Cubes/ASGD分类
信息技术与安全科学引用本文复制引用
陈昭,谢勤岚..结合形状特征点和灰度信息的心脏 DSCT 图像配准磁[J].计算机与数字工程,2016,44(9):1801-1805,5.
