在计算机断层扫描中通过非线性降噪引发的扭曲的可视化
Joel Larsson1,2, Magnus Båth1,3, Anne Thilander-Klang1,3
1University of Gothenburg, Sahlgrenska Academy, Institute of Clinical Sciences, Department of Medical Radiation Sciences, Gothenburg, Sweden.
Journal of medical imaging (Bellingham, Wash.)
|June 19, 2023
概括
我们开发了一种新方法来可视化计算机断层扫描 (CT) 系统中非线性降噪的图像扭曲. 该技术通过分析对象相关的扭曲来评估算法的稳定性,这对于精确的CT成像至关重要.
科学领域:
- 医疗成像医学成像
- 图像处理 图像处理
- 计算科学 计算科学
背景情况:
- 计算机断层扫描 (CT) 系统容易受到非线性降噪算法引起的图像扭曲的影响.
- 评估这些扭曲对于保持图像质量和CT扫描诊断准确性至关重要.
- 现有的方法可能无法完全捕捉噪声,无噪声和对象表示之间的复杂相互作用.
研究的目的:
- 开发和验证一种用于可视化CT中非线性降噪算法引入的图像扭曲的方法.
- 要区分与对象相关的扭曲和因无声化而产生的随机变化.
- 为评估CT无效算法的稳定性提供一个指标.
主要方法:
- 定义非线性扭曲是将线性系统标准应用于重建算法时的剩余误差.
- 开发了对象 () 和噪音 () 图像以可视化非线性扭曲.
- 由于有限的阴影图数据可用性,估计了图像的近似值.
- 应用中位数和总变异过器对模拟的噪音CT数据,并与过的反向投影进行比较.
主要成果:
- 图像显示出由于非线性无声化而导致的对比度和分辨率降低.
- 大致的图像与原始图像有很好的相关性,但不确定性更高.
- 中位过产生了具有对象样结构和随机变化的图像;总变化过主要显示了随机变化.
结论:
- 开发的可视化方法有效地突出了CT拒绝算法的非线性扭曲.
- 分析对象相关扭曲比分析随机变化更具有临床意义.
- 非线性扭曲的缺失可以作为CT中无线化算法的稳定性的衡量标准.
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