Robust moving-blocker scatter correction for cone-beam computed tomography using multiple-view information.
Robust moving-blocker scatter correction for cone-beam computed tomography using multiple-view information.
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DOI：
10.1371/journal.pone.0189620
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发表时间：
2017
期刊：
影响因子：
3.7
通讯作者：
Jin M
中科院分区：
文献类型：
--
作者：
Zhao C;Chen X;Ouyang L;Wang J;Jin M
散射污染是锥束CT（CBCT）图像质量下降的主要原因之一。移动块体法是一种经济有效的散射校正方法，它可以在单次CBCT扫描中同时估计散射和重建视场内的完整体积。然而，在沿着轴向阻挡物移动方向的投影图像中具有大强度过渡的区域处，来自单个投影视图中的阻挡区域的散射信号的估计会产生大的误差，并且在重建图像中引起显著的伪影，并且使这些区域的可用性无效。此外，阻塞边缘检测误差会显著恶化主信号和散射信号估计，并导致不可接受的重建结果。在这项研究中，我们提出了使用相邻的多视图投影图像，以联合估计散射信号更准确。在返回，更准确地估计的散射信号可以被用来更准确地检测阻塞边缘，大大提高了鲁棒性的运动阻塞为基础的SC。使用Catphan体模和拟人骨盆体模CBCT数据的实验结果表明，新方法可以有效地抑制在快速信号过渡区的散射信号的估计误差，并能够纠正阻塞检测错误。这一发展将扩大基于移动阻断器的SC用于投影图像中具有急剧强度变化的目标的效用，并为其临床翻译提供所需的鲁棒性。
Scatter contamination is one of the main sources of decreasing the image quality in cone-beam computed tomography (CBCT). The moving blocker method is economic and effective for scatter correction (SC), which can simultaneously estimate scatter and reconstruct the complete volume within the field of view (FOV) from a single CBCT scan. However, at the regions with large intensity transition in the projection images along the axial blocker moving direction, the estimation of scatter signal from blocked regions in a single projection view can produce large error and cause significant artifacts in reconstructed images and null the usability of these regions. Furthermore, blocker edge detection error can significantly deteriorate both primary signal and scatter signal estimation and lead to unacceptable reconstruction results. In this study, we propose to use the adjacent multi-view projection images to jointly estimate scatter signal more accurately. In return, the more accurately estimated scatter signal can be utilized to detect blocker edges more accurately for greatly improved robustness of moving-blocker based SC. The experimental results using a Catphan phantom and an anthropomorphic pelvis phantom CBCT data show that the new method can effectively suppress the estimation errors of scatter signal in the fast signal transition regions and is able to correct the blocker detection errors. This development will expand the utility of moving-blocker based SC for the target with sharp intensity changes in the projection images and provide the needed robustness for its clinical translation.
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