Laboratoire de recherche en imagerie et orthopédie, Centre de recherche du Centre hospitalier de l'Université de Montréal, 900 St-Denis, Montréal, QC, H2X 0A9, Canada.
Département de génie des systèmes, École de technologie supérieure, Montréal, QC, H3C 1K3, Canada.
Neuroradiology. 2020 Nov;62(11):1511-1514. doi: 10.1007/s00234-020-02467-z. Epub 2020 Jun 18.
Iterative reconstruction has been proven to be an effective tool for low-dose computed tomography imaging. However, this technology is currently not available in commercial diagnostic maxillofacial cone beam CT. For this technical note, an iterative reconstruction technique was applied to cone beam CT raw data of two maxillofacial clinical cases to explore its potential for dose reduction and metal artifact reduction. Low-dose imaging was emulated by using only fractions of the clinical projection dataset. The reconstruction algorithms tested were filtered backprojection (FBP) as a reference method, and a total variation minimization (TV) regularized ordered subsets convex (OSC-TV) method as the iterative technique. Upon qualitative examination, the OSC-TV technique was found to conserve most diagnostic information using half the projections. Test images have also shown that at 1/4 of the projections, OSC-TV was more robust than FBP with respect to streaking and metal artifacts.
迭代重建已被证明是一种用于低剂量计算机断层扫描成像的有效工具。然而,这项技术目前在商业诊断颌面锥形束 CT 中不可用。在本技术说明中,我们将迭代重建技术应用于两个颌面临床病例的锥形束 CT 原始数据中,以探索其在降低剂量和减少金属伪影方面的潜力。通过仅使用临床投影数据集的一部分来模拟低剂量成像。测试的重建算法包括滤波反投影(FBP)作为参考方法,以及全变分最小化(TV)正则化有序子集凸(OSC-TV)方法作为迭代技术。通过定性检查,发现 OSC-TV 技术使用一半的投影就能保留大部分诊断信息。测试图像还表明,在投影的四分之一时,OSC-TV 比 FBP 更能抵抗条纹和金属伪影。
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