摘要
三维医学图像的层间插值是实现医学体视化的一个重要步骤;传统的直接灰度插值方法只适用于层间距小或形状差别不大的断层扫描图像,否则会产生严重的轮廓模糊现象;文中的三维插值算法通过对轮廓进行多边形近似,将形状和灰度信息较好地结合起来,充分利用了图像的形状信息,从而较好地避免了大层间距和形状差别较大时的轮廓重影问题,实验结果证明了其有效性。
The interpolation technology between 3-D medical images is a key way to realize the medical visualization. The traditional method based on gray-level is suitable for the slices of small distance and shape difference. Otherwise , blur of the object＇s boundary will appear. The method proposed by this article uses a polygon to approximate the object shape and performs the interpolation using polygon as references, which combine the shape information and gray-level information together. The experiment results attests the validity.
出处
《计算机测量与控制》
CSCD
2007年第9期1212-1213,1219,共3页
Computer Measurement &Control
基金
国家博士点基金(200406990159)。
关键词
三维插值
多边形近似
距离变换
3-D interpolation
polygon approximation
distance transform
