节点文献
一种新的描述二维医学图像相似度的方法
New Method to Analyze the Similarity between Two-dimensional Medical Images
【摘要】 通过提取 2幅图像中的特征点的位置坐标 ,并进行标准化 ,构成 2组二维向量 ,用比较 2组向量相关性的方法分析它们的相关性 ,该相关性就表征了 2幅图像间的相似度。同时提出一种基于特征点位置坐标的分析二维医学图像相似度的方法。使用该方法分析了 5幅正常颌X线片 ,得到任意 2幅图之间的相似度 ,并对影响相似度的因素作了分析 ,说明特征点的数目和选取方式对相似度影响较大 ,重复定点中的随机误差对相似度的影响很小。该方法能够定量地描述图像的相似度 ,并可以直接推广到分析 3D医学图像的相似度。
【Abstract】 A new method is posed that analyzes the similarity between the 2D images based on the landmark positions. Get the coordinates of the landmarks and standardized them to make up two groups of vectors, and analyzed the correlation between them, which represented the similarity of the two images. Five cephalometric radiographs images were analyzed in this method and factors affecting the similarity were discussed. It indicated that the number of landmarks and the method of selection could influence the results remarkably but random error had little influence. This method can evaluate the similarity between the images quantitatively and can also be applied to the 3D images.
【Key words】 canonical correlation analysis; medical image; cephalometric radiographs;
- 【文献出处】 首都医科大学学报 ,Journal of Capital University of Medical Sciences , 编辑部邮箱 ,2001年04期
- 【分类号】R318.5
- 【被引频次】6
- 【下载频次】360