|
|||||
|
|
| 基于自由变形法的多模态医学图像的配准与融合 | |
| 引用本文： | 何元烈,陈萍,田联房,王立非,叶广春,毛宗源.基于自由变形法的多模态医学图像的配准与融合[J].中国生物医学工程学报,2006,25(6):672-677. |
| 作者姓名： | 何元烈 陈萍 田联房 王立非 叶广春 毛宗源 |
| 作者单位： | 1. 广东工业大学计算机学院,广州,510090 2. 广州医学院第一附属医院核医学科,广州,510120 3. 华南理工大学自动化科学与工程学院,广州,510640 4. 广州中医药大学祈福医院影像中心,广州,511495 |
| 摘 要： | 本研究提出了一种自动识别颈部PET-CT图像特征点的算法，它应用自由变形（FFD）方法以CT图像的特征点为参考使PET图像产生变形，再结合最大互信息法对颈部PET与CT图像进行非刚体配准，最后用改进的小波图像融合法把两者进行融合得出视觉效果比较理想的融合图像。经实际计算得出的变形PET图像与对应CT图像的互信息量大于原始PET图像，并且最后用改进的小波图像融合法得出的融合图像的信息量比一般小波融合大，由此证明本研究所用方法是有效的。 |
| 关 键 词： | 自由变形 非刚体配准 小波融合 最大互信息法 医学图像 |
| 文章编号： | 0258-8021（2006）06-0672-06 |
| 收稿时间： | 2005-05-23 |
| 修稿时间： | 2006-06-19 |
Multimodal Medical Image Nonrigid Registration and Fusion Based on Free-Form Deformation Method |
|
| HE Yuan-Lie,CHEN Ping,TIAN Lian-Fang,WANG Li-Fei,YE Guang-Chun,MAO Zong-Yuan.Multimodal Medical Image Nonrigid Registration and Fusion Based on Free-Form Deformation Method[J].Chinese Journal of Biomedical Engineering,2006,25(6):672-677. | |
| Authors: | HE Yuan-Lie CHEN Ping TIAN Lian-Fang WANG Li-Fei YE Guang-Chun MAO Zong-Yuan |
| Abstract: | An automatic recognition algorithm was developed to extract the feature points of PET and CT images.The free-form deformation(FFD) method was implemented to deform the PET image with feature points of PET and CT images.Then,the maximal mutual information method was used for nonrigid registration of the deformed PET image with CT image.Finally,the deformed PET and CT images were fused with improved wavelet fusion method.The mutual information was larger than the original by 0.7593%,and the entropy of the fused image with improved wavelet fusion method was larger than the normally produced image. |
| Keywords: | free-form deformation nonrigid registration wavelet fusion maximum mutual information registration medical Image |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |