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向着一个胎儿镜的导航框架

Alessandro Casella^1,2, Chiara Lena³, Sara Moccia⁴

¹Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy. alessandro.casella@polimi.it.

International journal of computer assisted radiology and surgery

|August 16, 2023

概括

这项研究引入了一个新的AI框架,用于在双胞胎对双胞胎输血综合征 (TTTS) 胎儿手术期间创建详细的胎盘图. 该系统通过扩大视野和从丢失的摄像头跟踪中恢复来改善手术可视化.

科学领域:

医疗成像医学成像
计算机视觉计算机视觉
手术技术手术技术

背景情况:

双胞胎对双胞胎输血综合征 (TTTS) 需要精确的手术干预.
胎镜激光光凝血是TTTS的标准治疗方法.
增强对胎盘的可视化对于有效的胎儿手术至关重要.

研究的目的:

开发一个基于学习的框架,在胎儿镜检查过程中扩大视野.
从手术视频中创建强大的胎盘马赛克,以改善外科探索.
为了使闭塞恢复和框架重新定位,而不依赖于解剖学地标.

主要方法:

一个新的框架,利用基于学习的功能和图像注册的关键点.
基于变压器的图像特征匹配,用于强大的马赛克.
使用计算功能进行阻塞恢复和摄像头跟踪损失缓解.

主要成果:

与最先进的方法相比,该框架在10个活体TTTS视频中,在7个视频中实现了优异的性能 ([公式:见文本]).
在阻塞恢复方面表现出高的成功率 ([公式:参见文本]).
成功计算了胎盘全景图,并从跟踪损失中恢复.

结论:

拟议的基于学习的框架为TTTS手术提供了强大的胎盘马赛克和闭塞恢复.
它提供了显著的视野扩展,这对于外科导航至关重要.
这项技术有可能推进胎儿干预手术导航系统的发展.

关键词:

胎儿外科手术胎儿外科手术胚胎镜检查 (fetoscopy) 是一种用于检查胎儿的方法.马赛克的制作封闭恢复恢复的时间.双胞胎对双胞胎输血综合征

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