用计算机断层扫描中的噪声恢复技术减少金属工件的图像质量改进
Yusuke Morioka1,2, Katsuhiro Ichikawa3, Hiroki Kawashima4
1Department of Medical Technology, Toyama Prefectural Central Hospital, 2-2-78 Nishinagae, Toyama, 930-8550, Japan.
Physical and engineering sciences in medicine
|November 8, 2023
概括
结合噪声回收 (NRNMAR) 的新金属工件减少 (MAR) 技术通过减少工件和保持噪声特征来提高计算机断层扫描 (CT) 图像质量,优于现有方法.
科学领域:
- 医疗成像医学成像
- 放射学 放射学是一门学科.
- 图像处理 图像处理
背景情况:
- 计算机断层扫描 (CT) 中的金属工件显著降低了图像质量.
- 当前的金属工件减少 (MAR) 技术,就像正常化 (NMAR) 一样,在涂装过程中经常忽视X射线光子噪声.
- 现有的方法,如频率分割NMAR (FSNMAR) 可以引入新的工件.
研究的目的:
- 评估一种新型的MAR技术,该技术将噪声回收 (NRNMAR) 纳入投影数据中.
- 为了比较NRNMAR与传统NMAR和FSNMAR的有效性.
- 评估噪声回收对图像质量和CT扫描中金属植入物人工物减少的影响.
主要方法:
- 模拟的关节假肢和牙填充物使用64排多切片CT扫描仪进行扫描.
- 在图像重建之前,使用NMAR和NRNMAR处理了投影数据.
- 测量了噪声功率谱 (NPS) 和工件指数 (AI),以验证噪声回收并比较工件减少效率.
主要成果:
- NRNMAR产生了类似于无噪声幻影图像的NPS,证实了有效的噪声恢复.
- NMAR导致了不自然的噪声纹理,FSNMAR引入了额外的条纹.
- 与FSNMAR相比,NRNMAR显著降低了AI的66.2-88.6%,除了在特定情况下.
结论:
- 通过将白噪声添加到投影数据中,NRNMAR有效地提高了CT图像质量,减少了金属工件.
- 与NMAR和FSNMAR相比,该技术提供了优越的工件减少和噪声质感保护.
- NRNMAR提出了一种有前途的方法来提高CT成像中的诊断准确度,使用金属植入物.
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