肝细胞肝癌CT图像纹理分析分割技术的初步研究  

Preliminary Study on Segmentation Technique of Texture Analysis of Hepatocellular Carcinoma CT Image

作　　者：王戚玲 汪兵[1] 利玉林 成官迅[1] 向子云[2] WANG Qi-ling;WANG Bing;LI Yu-lin;CHENG Guan-xun;XIANG Zi-yun(Department of Medical Imaging,Shenzhen Hospital,Peking University,Shenzhen 518036,Guangdong,China;Department of Imaging,Shenzhen Longgang District People's Hospital,Shenzhen 518172,Guangdong,China)

机构地区：[1]北京大学深圳医院医学影像科,广东深圳518036 [2]深圳市龙岗区人民医院影像科,广东深圳518172

出　　处：《医学信息》2018年第11期89-92,共4页Journal of Medical Information

摘　　要：目的探讨机器自动分割肝癌CT图像纹理特征的可行性。方法用强度、纹理、形状和边缘的图像特征来描述分割的情况,计算从操作者分割提取的特征与机器分割的相关性,测量不同操作者分割CT图像与机器分割CT图像的一致性。结果操作者在选择不同层面时并不一致。操作者的分割结果也并非重叠。每个机器分割与其操作者手动分割的平均重叠程度与两个操作者之间的重叠程度相当(74%vs 69%)。机器分割与操作者手动分割组内相关性(ICC)结果表示纹理和强度特征是最显著的,边缘和形状特征最小。结论本研究通过在每个操作者分割的最大圆来确定机器自动分割,从而有助于临床中可以更快、更准确的对CT图像进行分割。Objective To explore the feasibility of automatic segmentation of liver cancer CT image texture features.Methods Intensity,texture,shape,and edge image features were used to describe the segmentation conditions.The correlation between the segmentation feature extracted from the operator and the machine segmentation was calculated,and the consistency between different operator segmented CT images and machine segmentation CT images was measured.Results Operators are inconsistent when choosing different levels.The operator's segmentation results are also not overlapping.The average degree of overlap between each machine segment and its operator's manual segmentation is comparable to the overlap between the two operators(74%vs69%).Machine segmentation and operator manual segmentation of intra-group correlation(ICC)results indicate that texture and intensity features are the most prominent,with minimal edge and shape features.Conclusion In this study,the automatic segmentation of the machine is determined by the maximum circle segmented by each operator,which helps to quickly and accurately segment the CT image in the clinic.

关 键 词：影像组学 影像特征 分割 

分 类 号：R735.7[医药卫生—肿瘤]