基于标签化医学图像的多阈值三维重建算法  

A multi-threshold 3D reconstruction algorithm based on labeled medical images

作　　者：肖洪旭 杨志永[1] 姜杉[1] 黄哲 赵胜丽 

机构地区：[1]天津大学机械工程学院,天津300350

出　　处：《计算机工程与科学》2017年第10期1870-1876,共7页Computer Engineering & Science

基　　金：国家自然科学基金(51775368);天津市重大科技专项(14ZCDZGX00490);广东省省级科技计划(2017B020210004)

摘　　要：针对传统面绘制重建方法 MC无法一次性提取多个阈值器官的问题,提出一种将MRI图像中靶区及其周边组织进行标签化分割的多阈值三维重建算法。该算法通过将二维图像中的多阈值器官标签化为简单的整数,降低提取等值面时的数据存储量,进而提高等值面的绘制速度。同时,定义了多阈值三维重建时体素顶点索引方式和等值面相交形态,减少了传统MC算法提取多个阈值器官时存在三角面片与顶点复用的情况,且仅需一次性扫描即可重建多个器官等值面。实验结果表明,本文算法较传统MC算法,重建器官数量越多,器官彼此结构越紧密,三角面片与顶点复用情况减少越明显,在保证重建效果的同时,绘制速度可提高30%。As a traditional surface reconstruction algorithm the marching cubes （MC） is unable to ex-tract multi-threshold organs at one time. We propose a multi-threshold reconstruction algorithm to di-vide the target area and surrounding tissues in the MRI image into several label values. Changing the lables of multi-threshold organs into brief numbers can decrease the memory space and accelerate the speed of drawing contour surfaces. We also define the index way of voxel vertesecting morphology of multi-threshold three-dimensional reconstruction, which can avoid the situation of triangle facets and vertexes reuse of the MC. Furthermore, the contour surface reconstruction of themulti-organ requires only one time scanning of the MRI image. Experimental results show that the num-ber of facets and vertices is decreased more significantly when the number of organs is larger and their relationship is closer in comparison with the traditional MC algorithm, and the reconstruction speed is improved by 30 （ while the reconstruction effect is guaranteed.

关 键 词：三维重建 分割 标签 移动立方体算法 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]