光声图像引导远程机器人经鼻蝶窦手术的可行性

Sungmin Kim, Youri Tan, P. Kazanzides, M. Bell
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引用次数: 16

摘要

在微创切除垂体肿瘤的过程中(即鼻内经蝶窦手术)损伤颈内动脉可能会产生许多严重的并发症,包括患者死亡。虽然术前CT或MR图像可用于辅助导航,但由于登记错误和术中改变,这些动脉的位置可能在手术中不确定。理想情况下,外科医生应该能够实时看到这些动脉,即使它们在被钻孔的骨头后面。因此,我们正在探索一种新型光声图像引导遥控机器人系统的可行性,该系统可以测量动脉相对于钻尖的位置,并通过成像系统组件(即连接到钻头和超声换能器的光纤)准确地可视化动脉和钻尖之间的空间关系。系统的潜在精度通过两个阶段的方法进行评估,其中包括船体中心的总体定位,然后使用基于图像的算法进行改进。利用研究用的达芬奇手术系统、模拟光声数据和实验数据对该方法进行了测试,结果表明,该方法的粗定位和精细定位的平均绝对误差分别为1.89±0.93 mm和0.3±0.2 mm。结果很有希望外科医生看到颈内动脉,从而避免损伤与远程手术机器人方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Feasibility of photoacoustic image guidance for telerobotic endonasal transsphenoidal surgery
Injury to the internal carotid arteries during the minimally invasive procedure to remove pituitary tumors (i.e., endonasal transsphenoidal surgery) could have many severe complications, including patient death. While preoperative CT or MR images are available to assist with navigation, the location of these arteries may be uncertain during surgery due to registration errors and intraoperative changes. Ideally, the surgeon should be able to visualize these arteries in real-time, even though they are behind the bone being drilled. We are therefore exploring the feasibility of a novel photoacoustic image-guided telerobotic system to measure the location of the artery with respect to the drill tip and to accurately visualize the spatial relationship between the artery and drill tip with respect to the imaging system components (i.e., the optical fiber attached to the drill and the ultrasound transducer). The potential system accuracy was evaluated in a two-stage approach that includes gross localization of the vessel center, followed by refinement with an image-based algorithm. This method was tested with a research-based da Vinci Surgical System, simulated photoacoustic data, and experimental data, revealing mean absolute errors of 1.89±0.93 mm and 0.3±0.2 mm for gross and fine positioning, respectively. Results are promising for surgeons to visualize the internal carotid arteries and thereby avoid injury with a teleoperative robotic approach.
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