几何学自适应投影-域深度散射估计用于多源半静止圆束计算断层扫描
Thomas McSkimming1,2,3, Alejandro Lopez-Montes2, Anthony Skeats3
1Medical Device Research Institute, College of Science and Engineering, Flinders University, Adelaide, South Australia, Australia.
Medical physics
|December 31, 2025
概括
适应性深度散射估计 (ADSE) 改善了对紧系统的圆束计算机断层扫描 (CBCT) 成像. 这种新的方法通过准确估计和去除X射线散射来提高图像质量,优于现有的技术.
科学领域:
- 医疗成像医学成像
- 计算成像技术的成像
- 辐射物理学 辐射物理学
背景情况:
- 静止或半静止CBCT (sCBCT) 为紧的成像系统提供了潜力.
- sCBCT几何面临着复杂的X射线散射的挑战,阻碍了传统的散射估计方法.
- 在sCBCT中的重建工件限制了基于体积的散射估计器的有效性.
研究的目的:
- 提出自适应深度散射估计 (ADSE),用于sCBCT的自适应投影域技术.
- 克服sCBCT中现有的投影和体积域散射估计器的局限性.
- 在sCBCT配置中提高散射估计的适用性.
主要方法:
- 将sCBCT投影转换为一个视图不变的替代几何.
- 在代用几何中应用一个代的,基于CNN的散射估计器和流动权重.
- 通过反转换和权重获得最终的sCBCT散射估计.
主要成果:
- 在非截断的投影中,ADSE在投影域散射大小中实现了3.88%的MAPE,表现优于iMC (4.42%) 和gDSE (5.13%).
- 在物理幻影实验中,ADSE恢复了48.67%的对比度和25.03%的CNR,显著改善了iMC和gDSE.
- ADSE减少了79%的吸管器件和71%的CT数不均.
结论:
- ADSE有效地解决了复杂sCBCT几何结构中的散射估计挑战,包括截断和不足采样.
- 在几何意识的gDSE和代的蒙特卡洛 (iMC) 方法中,ADSE表现出优越的性能.
- 这些发现支持在sCBCT中使用定制的几何曲线运算符进行散射补偿的可行性.
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