基于分割MC算法的超声影像三维重建方法  

Segmentation MC algorithm-based method for ultrasound image 3-D reconstruction

作　　者：刘少丽[1] 杨向东[1] 陈恳[1] 

机构地区：[1]清华大学精密仪器与机械学系,摩擦学国家重点实验室,北京100084

出　　处：《清华大学学报（自然科学版）》2010年第8期1214-1218,共5页Journal of Tsinghua University(Science and Technology)

基　　金：国家自然科学基金资助项目(50675109;30672016)

摘　　要：为了克服传统MC(marching cubes)算法对空间所有体素进行处理时执行效率不高和分割阈值难以确定的缺点,提出了一种基于分割MC算法的超声影像三维重建面绘制方法。它将分割后的超声图像作为分割MC算法的输入,利用分割结果构造等值面,提高了三维重建的速度和质量。运用可视化开发包(VTK),采用该算法对超声图像的肝脏肿瘤及周围组织器官(血管)进行了三维重建。实验结果表明:采用分割MC算法进行三维重建的速度均在20s以内,精度高,满足临床快速性及高精度要求。该方法已经在肝癌微创治疗中获得成功的临床应用。The traditional marching cubes （MC） algorithm has several shortcomings, including that it has to process all the voxels in the space so the execution is not efficient and the segmentation threshold value is difficult to determine. A segmentation-based MC algorithm for three-dimensional reconstruction surface rendering of ultrasound images was developed to improve the speed and image quality. The algorithm uses divisional images as the input, with segmentation results to construct an iso-surface. The result is faster with better quality of 3-D reconstruction. Ultrasound images of liver tumors and the surrounding tissues and organs （blood vessels） were reconstructed with the visualization toolkit （VTK）. Tests show that the algorithm requires less than 20 s and is very precise, sufficiently for clinical requirements. The algorithm has been used in successful clinical applications for minimally invasive visualization of liver cancers.

关 键 词：三维重建 分割MC(marching cubes)算法 可视化工具包(VTK) 面绘制 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]