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基于蒙特卡罗的三维超声心动图渲染技术,用于混合现实引导下的房间隔穿刺定位。

Monte Carlo-based rendering of 3D echocardiography for mixed reality-guided atrial septal puncture positioning.

机构信息

Department of Informatics, University of Oslo, Oslo, Norway.

The Intervention Centre, Oslo University Hospital, Oslo, Norway.

出版信息

Comput Assist Surg (Abingdon). 2024 Dec;29(1):2403444. doi: 10.1080/24699322.2024.2403444. Epub 2024 Sep 20.

Abstract

Catheter-based intervention procedures contain complex maneuvers, and they are often performed using fluoroscopic guidance assisted by 2D and 3D echocardiography viewed on a flat screen that inherently limits depth perception. Emerging mixed reality (MR) technologies, combined with advanced rendering techniques, offer potential enhancement in depth perception and navigational support. The study aims to evaluate a MR-based guidance system for the atrial septal puncture (ASP) procedure utilizing a phantom anatomical model. A novel MR-based guidance system using a modified Monte Carlo-based rendering approach for 3D echocardiographic visualization was introduced and evaluated against standard clinical 3D echocardiographic display on a flat screen. The objective was to guide the ASP procedure by facilitating catheter placement and puncture across four specific atrial septum quadrants. To assess the system's feasibility and performance, a user study involving four experienced interventional cardiologists was conducted using a phantom model. Results show that participants accurately punctured the designated quadrant in 14 out of 16 punctures using MR and 15 out of 16 punctures using the flat screen of the ultrasound machine. The geometric mean puncture time for MR was 31 s and 26 s for flat screen guidance. User experience ratings indicated MR-based guidance to be easier to navigate and locate tents of the atrial septum. The study demonstrates the feasibility of MR-guided atrial septal puncture. User experience data, particularly with respect to navigation, imply potential benefits for more complex procedures and educational purposes. The observed performance difference suggests an associated learning curve for optimal MR utilization.

摘要

基于导管的介入程序包含复杂的操作,通常在二维和三维超声心动图的透视引导下进行,这些图像显示在平面屏幕上,这固有地限制了深度感知。新兴的混合现实 (MR) 技术与先进的渲染技术相结合,为深度感知和导航支持提供了潜在的增强。本研究旨在评估一种基于 MR 的引导系统,用于利用幻影解剖模型进行房间隔穿刺 (ASP) 手术。引入了一种新的基于 MR 的引导系统,该系统使用改进的基于蒙特卡罗的渲染方法进行 3D 超声心动图可视化,并在平面屏幕上的标准临床 3D 超声心动图显示器上进行了评估。其目的是通过促进导管放置和穿过四个特定的房间隔象限来引导 ASP 手术。为了评估系统的可行性和性能,使用幻影模型对四名有经验的介入心脏病专家进行了用户研究。结果表明,参与者使用 MR 在 16 次穿刺中的 14 次准确地穿刺了指定的象限,而使用超声机器的平面屏幕则在 16 次穿刺中的 15 次穿刺中准确地穿刺了指定的象限。MR 的几何平均穿刺时间为 31 秒,平面屏幕引导的穿刺时间为 26 秒。用户体验评分表明,基于 MR 的引导更易于导航和定位房间隔的帐篷。该研究证明了基于 MR 的房间隔穿刺引导的可行性。用户体验数据,特别是在导航方面,暗示对于更复杂的程序和教育目的具有潜在的益处。观察到的性能差异表明,为了实现最佳的 MR 利用,存在相关的学习曲线。

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