A Cone-beam Reconstruction Algorithm for Dose-minimized Short Scan and Super Short Scan
A Cone-beam Reconstruction Algorithm for Dose-minimized Short Scan and Super Short Scan
复制标题
剂量最小化短扫描和超短扫描的锥束重建算法
DOI：
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复制
发表时间：
2014
期刊：
影响因子：
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通讯作者：
A. Maier
中科院分区：
文献类型：
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作者：
Yan Xia;F. Dennerlein;S. Bauer;M. Berger;J. Hornegger;A. Maier
最近，我们提出了一种部署动态准直的方法，以屏蔽圆锥束数据采集中不必要的冗余数据，从而实现剂量最小化的短扫描和超短扫描。在本文中，我们提出了一种新的重建算法，该算法从这些采集中生成的图像优于传统短扫描 FDK 型算法恢复的图像。该方法涉及两个阶段：首先，使用截断校正方法重建初始体积。然而，由于锥束数据的隐式尖锐二进制加权，这种重建在远离中平面的切片中受到条纹伪影的影响。然后，我们向前投影这个初始体积以填充被准直屏蔽的原始投影区域，以便可以应用平滑的帕克加权方案的第二次重建来减少拖尾效应。通过模拟剂量最小化采集扫描对临床数据进行评估。结果表明，所提出的算法实现了与非准直 FDK 短扫描重建相当的图像质量，并且对患者的剂量最小化。
Recently, we proposed an approach that deploys dynamic collimation to shield unnecessary redundant data in circular cone-beam data acquisition, enabling a dose-minimized short scan and super short scan. In this paper, we suggest a new reconstruction algorithm that produces images from these acquisitions that are superior to those restored by traditional short scan FDK-type algorithms. The method involves two stages: First, an initial volume was reconstructed by using a truncation correction method. However, this reconstruction suffers from the streaking artifacts in slices away from the mid-plane due to implicit sharp binary weighting to the cone-beam data. Then, we forward project this initial volume to fill the original projection areas that were shielded by collimation, so that a second reconstruction with a smooth Parker-weighting scheme can be applied to reduce the streaking effects. The evaluation is performed on clinical data with the simulated dose-minimized acquisition scans. The results demonstrate that the proposed algorithm achieves image quality that is comparable to noncollimated FDK short scan reconstruction, with minimized dose to the patient.
影响因子：
3.8
作者：
Fahrig, Rebecca;Dixon, Robert;Strobel, Norbert
通讯作者：
Strobel, Norbert
通过动态准直扇束和锥束 CT 中的冗余射线实现剂量减少
DOI：
10.1109/nssmic.2013.6829341
发表时间：
2013
期刊：
2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC)
影响因子：
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作者：
Y. Xia;M. Berger;C. Riess;J. Hornegger;A. Maier
通讯作者：
A. Maier