关键词: 肝脏病灶, 点云精简, MC算法, 能量约束, DP算法

Abstract: Aim at the problem of traditional surface reconstruction that the efficiency decrease sharply with the promotion of reality, which is also poor of interaction and sensitivity, A new method from CT images for liver lesion surface reconstruction is proposed based on point clouds data. First, the interpolation and adaptive simplification method is improved for CT points cloud; then, two-part reconstruction process is proposed： a coarse base model is firstly created very fast from the distance field through Minimum Energy Constraint （MEC） and the simplified Marching Cube （MC） method, and a linear optimization ARDP （Automatic Robust Directed Projection） method is presented subsequently for automatically calculating the projection vector, which maps the surface points directly on the points cloud. By changing iterative times interactively, the accuracy of model can be improved gradually, so a high-quality model will finally be obtained, which realizes a direct transition from discrete points to the smooth surface. The results show that this way can save the time than that traditional algorithm, with mean error less than 0.000 1, and have good adaptability to irregular lesion models.

Key words: liver lesion, points cloud simplification, MC algorithm, energy constraint, DP algorithm