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FBFormer:使用特征反向投影和变压器进行干预性超稀疏CT重建,并使用图像之前的图像

Shankui Li^1,2, Yibo Pei^1,2, Yanyan Liu²

¹School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China.

Physics in medicine and biology

|November 20, 2025

概括

这项研究引入了FBFormer,一种使用手术内X射线图像重建CT扫描的新方法,显著减少患者在干预过程中的辐射暴露.

科学领域:

医疗成像医学成像
计算机视觉计算机视觉
放射学放射学是指放射学

背景情况:

以CT为指导的干预非常重要,但涉及高剂量的辐射.
长时间的扫描时间和大量的图像导致患者的辐射暴露.

研究的目的:

开发一种使用X射线成像来替代手术内CT指导的替代方法.
通过整合手术前图像与手术内X射线数据来重建干预CT.
为了减少辐射暴露,同时保持重建质量.

主要方法:

功能反向投影变压器 (FBFormer) 框架用于断层数据重建.
使用超稀疏的手术内X射线图像 (少于10次查看).
使用混合UNet和PVT编码器进行特征提取,并使用特征反向投影模块进行2D-3D转换.

主要成果:

FBFormer在模拟的4DCT和临床验证数据集上证明了有效性.
与其他方法相比,实现了优越的重建性能指标.
性能优于现有的令人信服的重建技术.

结论:

在干预程序中,FBFormer框架可以显著减少辐射暴露.
提高了从稀疏的X射线投影中干预CT重建的临床可靠性.
集成图像先验和几何一致的特征反向投影模块,以获得高质量的结果.

关键词:

背向投影是一种反向投影.深度学习是一种深度学习.超稀疏CT重建超稀疏CT重建视觉变压器视觉变压器

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