一种基于图像形态尺度变化的矢/冠状面图像重建算法  

Sagittal/Coronal Image Reconstruction Algorithm Based on Morphologic Scaling of Image

作　　者：曲桂红[1] 张大力[1] 阎平凡[1] 

机构地区：[1]清华大学自动化系,北京100084

出　　处：《北京生物医学工程》2002年第2期81-84,共4页Beijing Biomedical Engineering

摘　　要：为了得到高质量的矢 /冠状面 (Sagittal/Coronal)重建图像 ,提出一种基于图像形态尺度变化的插值重建算法。对整型B样条曲面引入控制点权重 ,并将权重作为图像值的函数 ,利用B样条曲面的局部支撑性 ,由图像值对插值曲面的局部形状进行控制。该算法充分考虑了断层间解剖组织分布形态尺度变化的因素 ,因此计算精度高 ,插值图像具有较高的保形性 ,断层间插值层的过度连续性为C(n) (n >1)。To reconstruct high quality sagittal/coronal image, we propose a B spline surface interpolation reconstruction algorithm based on variations of morphological scale of image. Weights of control points are introduced for integral type B spline curve as functions of image data. Thus the image data can be used to control the local interpolation surface shape according to the character of local support of B spline surface. In this study, the factor of morphological scale variation of anatomical tissue shape was fully taken into consideration. Therefore, a very precise reconstruction result was obtained. Experiment results showed that the algorithm retained good shape conformation and continuity between the interpolated layer and the neighboring layer was C (n) (with n >1).

关 键 词：图像重建 B样条曲面 插值计算 矢/冠状面 图像形态尺度变化 

分 类 号：R445[医药卫生—影像医学与核医学]