三维重建及3D打印技术在肺部外科手术中的应用

Reconstruction and 3D printing technology in the lung surgery

因肺部CT图像的三维重建在医学影像分析领域需求较大且难度较高,单独使用一种分割算法的去噪声效果不理想,故提出了将总变分模型与模糊C-均值聚类方法相结合,对CT数据进行分割去噪的方法。将分割后的图像导入自主研发的三维重建软件TM_MIS,它以VTK工具包为基础,使用MC算法和光线投影法对平滑去噪后的CT图像进行三维重建,得到三维虚拟模型。再用3D打印生成肺部血管及病灶的3D模型,代替传统的医生查看CT片的方法,为术前方案的制定及手术过程的模拟提供了更加科学的依据。实验表明,将肺部CT数据通过总变分模型进行去噪平滑,再结合模糊C-均值聚类方法进行分割得到的图像更加清晰,重建后的模型效果更理想。

Three-dimensional （3D） reconstruction on medical （CT） lung images is a demanding but tough area in medical image analysis. The effect of de-noising is unsatisfactory by using segmentation method alone, The combination of total variation model with fuzzy C-means clustering method is proposed to segment CT images and realize denoising. The segmented images are imported into the TM_MIS which is an independent-developed 3D reconstruction software. Based on the visualization toolkit, the marching cube and ray casting algorithms are applied to the processed images so as to generate the 3D virtual mod- el. Then 3D models of the blood vessels and lesions of the lungs are printed instead of the traditional way to check CT, so as to provide a more scientific basis for the development of preoperative program. Nu- merical experimental results validate the effectiveness and performance of the methods on the real medical CT lung images, which show that the effect of 3D reconstruction is more satisfactory.