论文标题

超声引导干预措施中的医疗仪器检测:审查

Medical Instrument Detection in Ultrasound-Guided Interventions: A Review

论文作者

Yang, Hongxu, Shan, Caifeng, Kolen, Alexander F., de With, Peter H. N.

论文摘要

医疗仪器检测对于计算机辅助干预措施至关重要,因为这将有助于外科医生通过更好的解释有效地找到该工具,从而带来更好的结果。本文回顾了超声引导干预中的医疗仪器检测方法。首先,我们对仪器检测方法进行了全面的综述,其中包括传统的非数据驱动方法和数据驱动方法。在机器学习时代,即数据驱动的方法之前,对非DATA驱动的方法进行了广泛的研究。我们讨论了超声检查中医学仪器检测的主要临床应用,包括麻醉,活检,前列腺近距离放射治疗和心脏导管插入术,这些临床术在临床数据集中进行了验证。最后,我们选择了几本主要出版物来总结计算机辅助干预群社区的关键问题和潜在的研究方向。

Medical instrument detection is essential for computer-assisted interventions since it would facilitate the surgeons to find the instrument efficiently with a better interpretation, which leads to a better outcome. This article reviews medical instrument detection methods in the ultrasound-guided intervention. First, we present a comprehensive review of instrument detection methodologies, which include traditional non-data-driven methods and data-driven methods. The non-data-driven methods were extensively studied prior to the era of machine learning, i.e. data-driven approaches. We discuss the main clinical applications of medical instrument detection in ultrasound, including anesthesia, biopsy, prostate brachytherapy, and cardiac catheterization, which were validated on clinical datasets. Finally, we selected several principal publications to summarize the key issues and potential research directions for the computer-assisted intervention community.

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