基于正则化反卷积的锥束CT散射校正
Scattering correction based on regularization de-convolution for Cone-Beam CT
摘要：
在锥束CT（Cone-Beam CT，CBCT）成像系统中，散射现象对重建图像有着重要的影响，是CBCT的一个长期研究课题。在本文中，我们提出了一种简单，新颖，快速的方法，用于减轻散射伪影和CBCT图像的对比度，属于基于卷积的方法，其中投影数据与卷积核去卷积的类别。该方法的一个关键步骤是如何确定卷积核。与现有方法相比，该方法基于双l1-l2范数正则化，对已知散射污染的投影图像和卷积核进行双l1-l2范数正则化。我们的方法可以将散射伪影从12.930减少到2.133。
英文摘要：
In Cone-Beam CT (CBCT) imaging systems, the scattering phenomenon has a significant impact on the reconstructed image and is a long-lasting research topic on CBCT. In this paper, we propose a simple, novel and fast approach for mitigating scatter artifacts and increasing the image contrast in CBCT, belonging to the category of convolution-based method in which the projected data is de-convolved with a convolution kernel. A key step in this method is how to determine the convolution kernel. Compared with existing methods, the estimation of convolution kernel is based on bi-l1-l2-norm regularization imposed on both the intermediate the known scatter contaminated projection images and the convolution kernel. Our approach can reduce the scatter artifacts from 12.930 to 2.133.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
