Cleary Kevin, Melzer Andreas, Watson Vance, Kronreif Gernot, Stoianovici Dan
Department of Radiology, Imaging Science and Information Systems Center, Georgetown University Medical Center, Washington, DC 20007, USA.
Minim Invasive Ther Allied Technol. 2006;15(2):101-13. doi: 10.1080/13645700600674179.
Many different robotic systems have been developed for invasive medical procedures. In this article we will focus on robotic systems for image-guided interventions such as biopsy of suspicious lesions, interstitial tumor treatment, or needle placement for spinal blocks and neurolysis. Medical robotics is a young and evolving field and the ultimate role of these systems has yet to be determined. This paper presents four interventional robotics systems designed to work with MRI, CT, fluoroscopy, and ultrasound imaging devices. The details of each system are given along with any phantom, animal, or human trials. The systems include the AcuBot for active needle insertion under CT or fluoroscopy, the B-Rob systems for needle placement using CT or ultrasound, the INNOMOTION for MRI and CT interventions, and the MRBot for MRI procedures. Following these descriptions, the technology issues of image compatibility, registration, patient movement and respiration, force feedback, and control mode are briefly discussed. It is our belief that robotic systems will be an important part of future interventions, but more research and clinical trials are needed. The possibility of performing new clinical procedures that the human cannot achieve remains an ultimate goal for medical robotics. Engineers and physicians should work together to create and validate these systems for the benefits of patients everywhere.
已经开发出许多不同的机器人系统用于侵入性医疗程序。在本文中,我们将重点关注用于图像引导介入的机器人系统,如可疑病变的活检、间质肿瘤治疗或脊髓阻滞和神经溶解的针放置。医疗机器人技术是一个年轻且不断发展的领域,这些系统的最终作用尚未确定。本文介绍了四种旨在与MRI、CT、荧光透视和超声成像设备配合使用的介入机器人系统。每个系统的详细信息以及任何模型、动物或人体试验都有给出。这些系统包括用于在CT或荧光透视下进行主动针插入的AcuBot、用于使用CT或超声进行针放置的B-Rob系统、用于MRI和CT介入的INNOMOTION以及用于MRI程序的MRBot。在这些描述之后,简要讨论了图像兼容性、配准、患者运动和呼吸、力反馈以及控制模式等技术问题。我们相信机器人系统将成为未来介入治疗的重要组成部分,但还需要更多的研究和临床试验。执行人类无法实现的新临床程序的可能性仍然是医疗机器人技术的最终目标。工程师和医生应该共同努力,为世界各地的患者创造并验证这些系统。