摘要
提出了一种基于分割的三维医学图像表面重建算法,它将图像分割与MC(marching cubes)算法有机地结合,这样可以根据不同医学图像的特点,采用适合的分割方法,实现对不同组织的准确分割,并利用分割结果精确地提取等值面,避免了MC只适合于阈值分割的局限性.同时采用一种基于区域增长的立方体检测方法,提高了表面跟踪的效率.实验证明,运用本算法,重建速度和显示效果均有提高.
In this paper, a 3D medical imaging surface reconstruction scheme was proposed, which integrates segmentation and Marching Cubes algorithm. An appropriate segmentation method was applied to the image sequence according to the feature of the original medical image, then the segmentation result (binary image data set) was used as the input of MC to generate iso-surfaces. In addition, a surface-tracking algorithm based on region growing is developed, which improve the efficiency by avoiding detecting empty space. Applying the scheme, both the speed and the display performance of the system are improved.
出处
《软件学报》
EI
CSCD
北大核心
2002年第2期219-226,共8页
Journal of Software
基金
国家自然科学基金资助项目(60071002
60072007
69931010
60172057)~~
