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双源形光束CT用于HDR基疗法室内成像:基于深度图像之前的有限角度图像重建的模拟研究

Xin Qian¹, Ziyu Shu¹, Salar Souri¹

¹Department of Radiation Oncology, School of Medicine, Stony Brook University, Stony Brook, NY.

|October 12, 2025

概括

一种新型的双源C臂圆束CT (dCBCT) 系统能够进行超短扫描,用于支臂疗法成像. 深度学习重建允许大视野成像与减少旋转,改善治疗规划.

科学领域:

医疗成像医学成像
放射治疗物理物理

背景情况:

圆束计算断层扫描 (C-arm cone-beam computed tomography,简称CBCT) 对于室内支臂疗法成像至关重要.
传统的CBCT由于有限的门架旋转和成像器大小而遭受截止图像的困扰,阻碍了治疗计划.

研究的目的:

介绍一款新型超紧型移动双源CBCT (dCBCT) 系统的设计.
通过使用深度学习,以减少C臂旋转,实现大视野成像.
为了促进超短扫描和立体成像用于高剂量速率 (HDR) 支臂疗法.

主要方法:

设计了一个dCBCT系统,其中有两个X射线源和一个C臂门架上的平板成像仪.
采用双源配置用于立体成像和减轻数据截断.
使用深度图像先验 (DIP) 来进行有限角度图像重建以减少扫描角度.

主要成果:

模拟表明dCBCT可以在180度旋转时获得足够的视野.
DIP重建成功地将所需的扫描角度降低到135°,而不会影响图像质量.
当使用身体形状作为约束时,90°旋转的超短扫描是可行的.

结论:

基于深度学习的有限角度重建的dCBCT系统可以在很短的获取时间内执行全身扫描.
这项技术允许快速的3D和实时平面成像在手臂治疗套件内.
该dCBCT系统提供了一个有前途的解决方案,用于改善成像在支臂疗法.

关键词:

支臂疗法是一种手臂疗法.在CBCT中,CBCT是CBCT.深度图像之前的图像.深度学习是一种深度学习.高剂量率的高剂量率.图像重建图像重建

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