MC算法在医学图像三维重建中的应用

详细介绍了MC算法,提出了优化网格模型简化算法。优化网格模型简化算法选取坐标点的原则是,尽可能地接近原始网格,通常采用子集选择法或优化选择法。在尽可能保证图像精度的前提下,优化网格模型简化算法可以提高运算速度,而单纯的网格算法由于失真严重而缺乏实用价值。基于体绘制的网格化简化算法重建的三维模型比较完全,且算法简单,在多排螺旋CT等医学图像三维重建中有较好的应用。

Application of improved MC algorithm in 3-D reconstruction of medical image

3D reconstructions has been widely used in the field of medical disease diagnosis and Marching Cube algorithm （MC） is the most representative structure in the face of 3D reconstructions. The authors introduce in the paper the principle of MC algorithm, and present a simplified algorithm based on optimized grid model. The simplified algorithm selects points as close to original grid as possible, usually using the subset selection method or the optimized selection method. To ensure the best possible result in image accuracy, the simplified algorithm will improve the computation speed, while the pure grid algorithm is not practical due to serious distortion. The experiments show that the simplified algorithm based on optimized grid is better than pure grid algorithm in 3D reconstruction, and has better application in the reconstruction of multiple detector-row CT images.