基于连续最大流的三维肺实质快速分割算法  

Fast Segmentation Algorithm of 3D Lung Parenchyma Based on Continuous Max-Flow

作　　者：赵海 周冰玲 朱宏博 窦圣昶 ZHAO Hai;ZHOU Bing-ling;ZHU Hong-bo;DOU Sheng-chang(School of Computer Science&Engineering,Northeastern University,Shenyang 110169,China)

机构地区：[1]东北大学计算机科学与工程学院,辽宁沈阳110169

出　　处：《东北大学学报（自然科学版）》2020年第4期470-474,共5页Journal of Northeastern University(Natural Science)

基　　金：中央高校基本科研业务费专项资金资助项目(N161608001);国家社会科学基金资助项目(18ZD23).

摘　　要：肺结节是肺癌的表征形式,形状结构多样且易与正常组织产生粘连,使分割存在困难.提出了一种基于空间约束的三维肺实质分割算法,实现对肺实质组织的分割及目标区域的获取.首先使用SLIC方法将二维CT序列图像构建成超像素图像矩阵,并对矩阵进行稀疏化处理,降低矩阵维度.然后连接相邻切片间的超像素构造肺实质组织的三维结构.最后采用连续最大流方法对构造的三维肺部结构进行分割.实验结果表明,所提算法能够快速准确地分割三维肺实质组织,对不同类型肺结节的分割均取得较好结果,具有一定的临床应用价值.Pulmonary nodules are the main form of lung cancer,which has complex shape and structure and is easy to adhere to normal tissues,making it difficult to segment.A three-dimensional lung parenchyma segmentation method based on spatial constraints was proposed to achieve segmentation of lung parenchyma tissue and acquisition of target regions.First,the SLIC method was used to construct a two-dimensional CT sequence image into a superpixel image matrix,and the matrix was thinned to reduce the dimension of the matrix.Then the nodes between adjacent slices were connected to construct a three-dimensional structure of the lung parenchyma.Finally,the continuous max-flow method was used to segment the constructed three-dimensional lung structure.The experimental results showed that the proposed algorithm can quickly and accurately segment three-dimensional lung parenchyma tissue,and obtain good results for segmentation of different types of lung nodules,which has certain clinical application value.

关 键 词：肺实质分割 空间约束 连续最大流 能量函数 矩阵稀疏化 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]