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[神经外科手术的机器人化:现状与未来展望]

[The robotization of neurosurgery: state of the art and future outlook].

作者信息

Benabid A L, Hoffmann D, Ashraf A, Koudsie A, Esteve F, Le-Bas J F

机构信息

Département de Neurosciences, CHU Albert Michallon, Grenoble.

出版信息

Bull Acad Natl Med. 1997 Nov;181(8):1625-35; discussion 1635-6.

PMID:9554122
Abstract

Neurosurgery is by excellence a field of application for robots, based on multimodal image guidance. Specific motorized tools have been already developed and routinely applied in stereotaxy to position a probe holder or in conventional neurosurgery to hold a microscope oriented towards a given target. The potentialities of these approaches have triggered industrial developments currently commercially available. These systems use data bases, primarily coming from multimodal numerical images from X-ray radiology to magnetic resonance imaging. These spatially encoded data are transferred through digital networks to workstations where images can be processed and surgical procedures are preplanned, then transferred to the robotic systems to which they are connected. We have been using a stereotactic robot since 1989 and a microscope robot since 1995 in various surgical routine procedures. The future of these applications mainly rely on the technical progress in informatics, about image recognition to adapt the preplanning to the actual surgical situation, to correct brain shifts for instance, about image fusion, integrated knowledge such such as brain atlases, as well as virtual reality. The future developments, covering surgical procedure, research and teaching, will sure be far beyond our wildest expectations.

摘要

神经外科无疑是机器人的一个应用领域,基于多模态图像引导。特定的电动工具已经开发出来,并常规应用于立体定向中以定位探针支架,或应用于传统神经外科手术中以固定指向给定目标的显微镜。这些方法的潜力引发了目前市面上已有的工业发展。这些系统使用数据库,主要来自从X射线放射学到磁共振成像的多模态数字图像。这些空间编码数据通过数字网络传输到工作站,在那里图像可以被处理,手术程序可以预先规划,然后传输到与之相连的机器人系统。自1989年以来,我们一直在各种外科常规手术中使用立体定向机器人,自1995年以来一直在使用显微镜机器人。这些应用的未来主要依赖于信息学方面的技术进步,包括图像识别以使预先规划适应实际手术情况,例如校正脑移位,图像融合,诸如脑图谱等综合知识,以及虚拟现实。涵盖手术程序、研究和教学的未来发展肯定会远远超出我们最疯狂的想象。

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