基于B样条曲线的断层离散数据平滑算法

通过二维断层图像进行三维对象重建是现今较为活跃的研究领域,而二维断层数据的质量将直接影响到三维重建的效果。提出了一种对医学断层离散数据在三维重建前进行预处理的方法,通过单层轮廓平面内平滑以及多层轮廓基于层间关系的B样条曲线拟合对原始数据进行了平滑处理,减少了重建后层与层之间的锯齿现象,使得在此基础上的三维重建效果得到了明显的改善。算法具有一定的通用性,同样适用于其它领域的数据处理。

Algorithm of Scattered Data Smooth Based on B-Spline Curves Fitting

Three-dimensional reconstruction based on the slices is now an active research field,and the quality of slice data will directly affect the reconstruction results.Presents a preprocessing method for the medical scattered data before the three-dimensional reconstruction.With single contour smoothing in plane and multi-contour smoothing based on B-spline curve fitting in space,the original data has been improved much.The experimental results indicate that this method makes reconstruct effect based on the processed data in a marked improvement.It is a common method,and is equally applicable to other areas of data processing.