基于相位对称性的血管超声图像分割算法  

Vascular ultrasound image segmentation algorithm based on phase symmetry

作　　者：关少亚 张诚 孟偲[3,4] 曹建树 孙凯 王田苗[4,6] GUAN Shaoya;ZHANG Cheng;MENG Cai;CAO Jianshu;SUN Kai;WANG Tianmiao(School of Engineers,Beijing Institute of Petrochemical Technology,Beijing 102617,China;School of Mechanical Engineering,Beijing Institute of Petrochemical Technology,Beijing 102617,China;School of Astronautics,Beihang University,Beijing 100191,China;Beijing Advanced Innovation Center for Biomedical Engineering,Beihang University,Beijing 100191,China;School of Medicine,Tsinghua University,Beijing 100084,China;School of Mechanical Engineering and Automation,Beihang University,Beijing 100191,China)

机构地区：[1]北京石油化工学院工程师学院,北京102617 [2]北京石油化工学院机械工程学院,北京102617 [3]北京航空航天大学宇航学院,北京100191 [4]北京航空航天大学生物医学工程高精尖创新中心,北京100191 [5]清华大学医学院,北京100084 [6]北京航空航天大学机械工程及自动化学院,北京100191

出　　处：《北京航空航天大学学报》2023年第10期2645-2650,共6页Journal of Beijing University of Aeronautics and Astronautics

基　　金：国家自然科学基金(61873010,61533016);中国科协中非“一带一路”国际工程科技与教育培训合作(2021ZZGJB071529);北京石油化工学院交叉科研探索项目(BIPTCSF-016)。

摘　　要：超声成像凭借其经济便携、无辐射、可实时成像等优点,已经成为临床诊断中常用的检查方法之一。血管超声成像不仅可以减少术中射线,也可以实现手术室外血管病变情况的初步判断,满足无法进行造影手术病人的检测需求。超声图像中目标组织边缘特征一般较为明显,综合考虑超声成像的特点及特征分布,选择基于相位对称性的分割算法对降噪滤波后超声图像中的目标组织进行分割,并根据目标组织边缘特性对分割结果进行形态学处理。通过与传统的活动轮廓型及深度学习算法对目标组织边缘的分割效果进行对比及量化分析,验证基于相位对称性的分割算法在目标组织分割及边缘提取中的优势。Ultrasound imaging has become one of the common examination methods in clinical diagnosis due to its advantages of economical,portable,radiation-free,and real-time imaging.Vascular ultrasound imaging can not only reduce intraoperative radiation but also realize the preliminary judgment of vascular lesions outside the operating room,meeting the detection needs of patients unable to undergo digital subtraction angiography.Edges of target tissues in the ultrasonic image are relatively obvious.Comprehensively considering ultrasonic image characteristics and feature distribution,this paper selects a phase symmetry segmentation algorithm to segment the target tissue edges of ultrasound images after noise filtering.Morphological processing is used to optimize the edges of segmentation results.The advantages of the phase symmetry algorithm proposed in this paper are verified by comparing the segmentation results with traditional active contour algorithm and a deep learning model.

关 键 词：超声成像 图像分割 降噪滤波 相位对称 深度学习 

分 类 号：TP242.3[自动化与计算机技术—检测技术与自动化装置]