统计形光束CT噪声降低与多尺度分解和惩罚在投射域中的加权最小方形
Shaojie Tang1, Jin Liu2, Guo Li1
1School of Automation, Xi'an University of Posts and Telecommunications, Xi'an, China.
Journal of X-ray science and technology
|July 15, 2025
概括
这项研究引入了一种用于形光束CT (CBCT) 成像的新降噪方法. 投影域多尺度处罚加权最小方形 (PWLS) 方法有效地抑制噪声,同时保持图像清晰度,优于现有技术.
科学领域:
- 医疗成像医学成像
- 计算成像技术的成像
- 图像处理 图像处理
背景情况:
- 降低噪音对于提高图像质量和降低X射线计算机断层扫描 (CT) 中的辐射剂量至关重要.
- 多尺度分解策略可以提高噪声抑制,同时保持图像清晰度.
- 之前的工作建立了一个投影域多尺度处罚加权最小方形 (PWLS) 方法用于风扇束CT,考虑采样间隔.
研究的目的:
- 扩展投影领域的多尺度PWLS方法到形光束 (CB) CT成像.
- 在CBCT应用中改善噪声抑制和图像质量.
- 为了考虑CBCT重建中的不同采样率.
主要方法:
- 通过将3D图像域扩散PDE转换为CB投影域,为CBCT衍生出一个投影域多尺度PWLS方法.
- 在多个尺度上使用马尔科夫随机场 (MRF) 目标函数来抑制噪声.
- 通过微型CT扫描仪的投影数据对该方法进行实验性评估.
主要成果:
- 拟议的CB投影域多尺度PWLS方法与单尺度PWLS,3D DFR和3D多尺度非线性扩散方法相比,显示出优异的降噪效果.
- 这种方法有效地保持了图像的清晰度.
- 没有新奇的文物是由提出的方法产生的.
结论:
- 开发的方法有利于CBCT成像,特别是在具有不同采样速率的先进应用中.
- 在多尺度分解中明确考虑采样间隔可以提高降噪性能.
- 该方法为CBCT中的统计噪声减少提供了可靠的解决方案.
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