Statistical iterative reconstruction for streak artefact reduction when using multidetector CT to image the dento-alveolar structures.
Statistical iterative reconstruction for streak artefact reduction when using multidetector CT to image the dento-alveolar structures.
复制标题
使用多探测器 CT 对牙槽结构进行成像时，进行统计迭代重建以减少条纹伪影。
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
C. Kober
中科院分区：
文献类型：
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作者：
J. Dong;Y. Hayakawa;C. Kober
目标
当口腔中存在金属修复器具和牙齿填充物时，CT图像中不可避免地会出现金属引起的条纹伪影。本研究的目的是开发一种使用多排 CT 图像统计重建来减少伪影的方法。
方法
相邻的 CT 图像通常描绘相似的解剖结构。因此，尝试使用相邻薄片中无伪影图像的投影数据来重建具有弱伪影的图像。通过连续迭代恢复，对具有中等和强烈伪影的图像进行连续处理，其中投影数据是从相邻的重建切片生成的。首先，应用基本的最大似然期望最大化算法。接下来，检查了有序子集期望最大化算法。或者，指定一个小的感兴趣区域设置。最后，通用图形处理单元机在这两种情况下都得到了应用。
结果
当应用顺序处理方法时，该算法减少了多探测器行 CT 图像上金属引起的条纹伪影。有序子集期望最大化和小的感兴趣区域减少了处理持续时间，而没有明显的损害。通用图形处理单元实现了高性能。
结论
应用统计重建方法来减少条纹伪影。所应用的替代算法是有效的。软件和硬件工具，例如有序子集期望最大化、小感兴趣区域和通用图形处理单元，实现了快速伪影校正。
OBJECTIVES
When metallic prosthetic appliances and dental fillings exist in the oral cavity, the appearance of metal-induced streak artefacts is not avoidable in CT images. The aim of this study was to develop a method for artefact reduction using the statistical reconstruction on multidetector row CT images.
METHODS
Adjacent CT images often depict similar anatomical structures. Therefore, reconstructed images with weak artefacts were attempted using projection data of an artefact-free image in a neighbouring thin slice. Images with moderate and strong artefacts were continuously processed in sequence by successive iterative restoration where the projection data was generated from the adjacent reconstructed slice. First, the basic maximum likelihood-expectation maximization algorithm was applied. Next, the ordered subset-expectation maximization algorithm was examined. Alternatively, a small region of interest setting was designated. Finally, the general purpose graphic processing unit machine was applied in both situations.
RESULTS
The algorithms reduced the metal-induced streak artefacts on multidetector row CT images when the sequential processing method was applied. The ordered subset-expectation maximization and small region of interest reduced the processing duration without apparent detriments. A general-purpose graphic processing unit realized the high performance.
CONCLUSIONS
A statistical reconstruction method was applied for the streak artefact reduction. The alternative algorithms applied were effective. Both software and hardware tools, such as ordered subset-expectation maximization, small region of interest and general-purpose graphic processing unit achieved fast artefact correction.
影响因子：
4.8
作者：
Wang, G;Frei, T;Vannier, MW
通讯作者：
Vannier, MW