计算机辅助血管介入技术进展综述  

A Survey on the Progress of Computer-Assisted Vascular Intervention

作　　者：李娜 贺建安 陈阳[3] 周寿军[1] Li Na;He Jian’an;Chen Yang;Zhou Shoujun(Institute of Biomedical and Health Engineering,Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences,Shenzhen 518055;University of Chinese Academy of Sciences,Beijing 100049;School of Computer Science and Engineering,Southeast University,Nanjing 211189)

机构地区：[1]中国科学院深圳先进技术研究院生物医学与健康工程研究所,深圳518055 [2]中国科学院大学,北京100049 [3]东南大学计算机科学与工程学院,南京211189

出　　处：《计算机辅助设计与图形学学报》2022年第7期985-1010,共26页Journal of Computer-Aided Design & Computer Graphics

基　　金：国家基金委重大仪器项目(81827805);科技部变革性技术重点研发计划(2018YFA0704102);深圳市基础研究布局项目(JCYJ20200109114610201,JCYJ20200109114812361).

摘　　要：血管类疾病是人类健康的重大威胁.血管介入诊疗作为常用的微创手术面临多种临床负担,亟需计算机辅助技术的支撑.近年来,血管外和血管内的医学影像技术与人工智能方法的快速发展推动了计算机辅助血管介入技术的相关研究.通过回顾和系统分析计算机辅助血管介入的基本内容和关键技术及其应用之间的有机关系,包括多模态医学造影图像分析、导管导丝的位置跟踪、血管关联病灶的特性和形态识别等热点问题,并分析上述内容与手术规划和手术导航的关系,得出该领域的临床应用趋势是结合诊疗一体化的血管介入机器人技术.通过对研究现状和发展趋势的分析,得出各类研发内容所面临的挑战:分割模型对血管结构量化的精确性与拓扑提取的完整性、介入路径矢量化与多模态信息融合的准确性、动静脉血管分类和分段与路径导航的关联性以及血管介入的人机交互的水平和评价方式等问题.分析表明,上述问题的解决将不断地推动人工智能诊疗技术,尤其是机器人辅助血管介入的快速发展和临床应用.Vascular diseases seriously threaten human health.As a commonly used minimally invasive sur-gery,vascular interventional diagnosis and treatment faces a variety of clinical burdens,so the support of computer-aided technology is urgently needed.In recent years,the rapid development of extravascular and intravascular medical imaging technology and artificial intelligence methods has promoted the related re-search of computer-assisted vascular intervention technology.The organic relationship between the basic content and key technologies of computer-assisted vascular intervention and its applications are reviewed and systematically analyzed,including multi-modal medical angiography image analysis,catheter guide wire position tracking,vascular associated lesion characteristics,morphological recognition,and other hot issues,and the relationships between the above contents and surgical planning and surgical navigation are analyzed.It is concluded that the clinical application trend in this field is to combine the integration of diagnosis and treatment with vascular interventional robot technology.Through the analysis of research status and devel-opment trends,it is concluded that the challenges faced by various research content are:the accuracy of the segmentation model to quantify the vascular structure and the completeness of topology extraction,inter-vention path vectorization and accuracy of multimodal information fusion,correlation between vascular anatomical labeling and surgical path navigation,and the level and evaluation method of human-computer interaction in vascular intervention.Analysis shows that in the process of solving these problems,the artifi-cial intelligence diagnosis and treatment technology will continue to be promoted,especially the rapid development and clinical application of robot-assisted vascular intervention.

关 键 词：血管造影图像分析 计算机辅助血管介入 人工智能 机器人辅助血管介入 诊疗一体化 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]