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基于变压器的2D/3D医疗图像注册X射线到CT通过解剖特征

Feng Qu^1,2, Min Zhang², Weili Shi^1,2

¹College of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China.

The international journal of medical robotics + computer assisted surgery : MRCAS

|March 27, 2024

概括

这项研究引入了一种新的X射线到CT 2D/3D注册方法,使用特征点和图形神经网络. 新方法提高了外科导航系统的准确性和效率.

科学领域:

医学成像医学成像
计算机辅助手术是计算机辅助的手术.
图像的注册图像的注册

背景情况:

2D/3D医疗图像注册对于手术导航至关重要,但仍然具有挑战性.
准确的姿势估计和定位对于外科导航系统至关重要.

研究的目的:

引入一种新的X射线到CT2D/3D注册的新方法.
对拟议的注册方法进行可行性研究.

主要方法:

一种基于特征点检测的2D/3D亲缘注册方法.
结合了形态和边缘特征,用于准确的特征点提取.
使用图形神经网络和Swin变压器进行解剖学和全球信息聚合.

主要成果:

与现有方法相比,拟议的方法显示了改进的准确性和成功率.
实现了0.31mm的平均目标注册误差.
证明了高效率,平均运行时间为0.6秒.

结论:

该方法为外科导航提供了全面的图像信息.
显示了改善手术导航系统中姿势估计和准确定位的重大前景.

关键词:

2D/3D医学图像注册登记解剖学特征解剖学特征构成估计估计的估计.变压器的变压器是一个变压器.

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