摘要
多模态医学图像的配准在医学诊断和治疗计划中起着重要的作用。提出一种基于轮廓特征的迭代最近点 (SVD -ICP)的配准方法。这种方法是将最优化解析方法与迭代搜索相结合来解决图像轮廓点匹配问题的 ,适用于不同模态医学图像之间的配准。关于CT -MRI和PET -MRI图像的配准实验证明 ,该方法是有效的。
Multimodality medical image registration has important applications in clinical diagnosis and therapy planning. This paper presents a SVD-ICP method based on contour feature, which combines the analytical optimization and iterative search to solve the problem of image contour points matching. It is applicable to multimodality medical image registration. Experiments on CT-MRI and PET-MRI registration prove that this method is effective.
出处
《系统工程与电子技术》
EI
CSCD
2000年第7期61-64,共4页
Systems Engineering and Electronics
基金
国家自然科学基金资助课题! (1 96750 0 5)
