医学图像三维重建的研究

作为目前计算机视觉领域的一个热点问题，医学图像三维重建在诊断医学、手术规划、模拟仿真等领域都有重要的应用。首先对图像进行预处理，以去除噪声并平滑图像，然后用K均值聚类算法对图像进行分割，最后用移动立方体算法实现图像的三维重建。重建后的三维图像可以帮助医生明确诊断和制定正确的手术方案。

Research about 3D Reconstruction of Medical Images

As a hot topic in computer vision,3D reconstruction of medical images is widely used in diagnostic,surgery planning and simulating,teaching in anatomy and medical simulate training. The main works of this paper are followings:1. Image preprocessing to remove the noises and smooth images;2. Image segmentation using k-means clustering algorithm;3. 3D reconstruction using marching cubes algorithm.3D reconstruction of medical images can help doctors diagnose patients and determine an appropriate surgical plan.