使用嵌入式重建和轻度交叉注意力的自动X射线到CT注册
Tonglong Li1, Minheng Chen1, Mingying Li2
1School of Computer Science and Engineering, Southeast University, Nanjing, China.
Medical physics
|May 22, 2025
概括
这项研究引入了图像引导手术的新方法,改善了手术前CT扫描的手术内X射线图像的记录. 这种方法提高了精度和稳定性,以改善外科导航.
科学领域:
- 医疗成像医学成像
- 计算机辅助手术 计算机辅助手术
- 图像注册 图像注册 图像注册
背景情况:
- 术前CT的术内X射线图像登记对于图像引导手术至关重要.
- 现有的方法难以解释和稳定的融合多模式图像数据.
- 目前的特征提取和融合技术限制了姿势回归的准确性.
研究的目的:
- 开发一种快速,强大的方法,用于使用X射线和CT图像进行准确的初始注册.
- 整合基于学习的和传统的注册方法,以加速结果.
- 为了在广泛的搜索空间中实现准确的注册.
主要方法:
- 一个基于回归的框架,通过嵌入重建通过受约束的特征融合.
- 引入轻量级交叉注意力 (LCAT) 机制,以实现有效的特征融合.
- 使用CMA-ES进行基于强度的细化.
主要成果:
- 在具有大搜索范围的模拟数据上,实现了1.9°的中位旋转误差和5.6mm的翻译误差.
- 在真实X射线图像上,通过更小的搜索范围,实现了1.6°的中位旋转误差和3.8mm的转换误差.
- 证明LCAT和嵌入式重建模块对于性能至关重要,它们的缺失导致随机初始化结果.
结论:
- 与现有的X射线和CT图像记录技术相比,拟议的方法提供了更高的准确性和更大的捕获范围.
- 模拟和真实图像的实验结果突出了该方法在图像引导手术中的临床应用潜力.
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