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作 者:徐亚琪 陆清声 XU Yaqi;LU Qingsheng(Department of Vascular Surgery,First Affiliated Hospital of Naval Medical University,Shanghai 200433,China)
机构地区:[1]海军军医大学第一附属医院血管外科,上海200433 [2]上海理工大学健康科学与工程学院
出 处:《介入放射学杂志》2024年第7期699-703,共5页Journal of Interventional Radiology
基 金:上海市科委科技计划项目(23XD1405000)。
摘 要:血管腔内介入手术器具自动识别与跟踪有利于血管疾病精准智能微创诊治及手术机器人自动化。随着人工智能(AI)不断发展,识别与跟踪技术的准确率和实时性也在不断提高,更加适应临床需求。本文综述了X线透视下血管腔内介入手术器具自动识别与跟踪研究进展。首先,总结和阐述了介入手术器具自动识别与跟踪相关技术;其次,从完全监督和弱监督两个角度总结了介入手术器具识别与跟踪算法;最后,对介入手术器具识别与跟踪技术应用场景进行了较为全面的总结,包括手术辅助决策、手术智能导航和手术增强现实(AR)技术培训。The automatic identification and tracking of surgical instruments for endovascular interventions is beneficial for precise,intelligent,minimally-invasive diagnosis and treatment of vascular diseases as well as for the automation of surgical robots.With the continuous development of artificial intelligence(AI),the accuracy and real-time performance of identification and tracking technology have also been constantly improved,which can better meet the clinical requirements.This article reviews the research progress in the automatic identification and tracking of surgical instruments for endovascular interventions under X-ray fluoroscopy.The content of this article mainly includes the following three aspects:(1)summarizing and describing the relevant techniques of automatic identification and tracking of interventional surgical instruments;(2)summarizing the identification and tracking algorithms of interventional surgical instruments from the perspectives of complete supervision and weak supervision;and(3)comprehensively summarizing the application scope of the technology of automatic identification and tracking of interventional surgical instruments,including surgical assistance decision-making,surgical intelligent navigation and surgical augmented reality(AR)technology training.
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