The Marching Cube algorithm is the classical iso-surface extracting algorithm in regular volume data.
算法是规则体数据等值面抽取的经典算法。
This thesis studies these two algorithms in detail, with which the 3D regular volume data can be extracted to construct the 3D surface models.
本文对两种算法进行了研究，实现了这两种算法对三维体模型抽取等值面构建表面模型。
According to the grade spatial distribution of regular volume data from interpolation, the deposit volume data was divided into several sections.
根据插值得到的矿床规则体数据的品位空间分布，将体数据分为若干段。
After pre processing, the technique of direct 3d interpolation for rotational scanning images was used to convert the original rotary scanning images into regular volume data.
然后，根据心电及角度信号提取正确原始切片图像，进行预处理，并利用三维直接匹配插值方法对旋转扫描超声心动图像进行插值，获得规则体数据。
Marching cubes (MC) algorithm is a classical algorithm to extract iso-surface from regular volume data. At last, a medical images reconstruction system based on MC algorithm is developed.
移动立方体(MC)算法是基于规则体数据抽取等值面的经典算法，本文最后设计开发了一个基于MC算法的医学图像三维重建系统。
Marching cubes (MC) algorithm is a classical algorithm to extract iso-surface from regular volume data. At last, a medical images reconstruction system based on MC algorithm is developed.
移动立方体(MC)算法是基于规则体数据抽取等值面的经典算法，本文最后设计开发了一个基于MC算法的医学图像三维重建系统。
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