Gerber Matthew J, Hubschman Jean-Pierre, Tsao Tsu-Chin
Mechanical and Aerospace Engineering Department, University of California, Los Angeles, CA, 90095 USA.
Stein Eye Institute, UCLA.
IEEE ASME Trans Mechatron. 2021 Oct;26(5):2758-2769. doi: 10.1109/tmech.2020.3045875. Epub 2020 Dec 18.
Retinal vein occlusion is one of the most common causes of vision loss, occurring when a blood clot or other obstruction occludes a retinal vein. A potential remedy for retinal vein occlusion is retinal vein cannulation, a surgical procedure that involves infusing the occluded vein with a fibrinolytic drug to restore blood flow through the vascular lumen. This work presents an image-guided robotic system capable of performing automated cannulation on silicone retinal vein phantoms. The system is integrated with an optical coherence tomography probe and camera to provide visual feedback to guide the robotic system. Through automation, the developed system targets a vein phantom to within 20 μm and automatically cannulates and infuses the vascular lumen with dyed water. The system was evaluated through 30 experimental trials and shown to be capable of performing automated cannulation of retinal vein phantoms with no reported cases of failure.
视网膜静脉阻塞是视力丧失的最常见原因之一,当血凝块或其他阻塞物阻塞视网膜静脉时就会发生这种情况。视网膜静脉插管是一种治疗视网膜静脉阻塞的潜在方法,这是一种外科手术,需要向阻塞的静脉注入纤维蛋白溶解药物,以恢复血管腔的血流。这项工作展示了一种图像引导的机器人系统,该系统能够在硅胶视网膜静脉模型上进行自动插管。该系统与光学相干断层扫描探头和摄像头集成在一起,以提供视觉反馈来引导机器人系统。通过自动化,该系统将静脉模型的目标定位在20微米以内,并自动对血管腔进行插管并注入染色水。该系统通过30次实验测试进行了评估,结果表明能够对视网膜静脉模型进行自动插管,且没有失败案例的报告。