标题 |
Ring artifacts suppression for X-ray CT images by fusion of dual-domain images based on improved UNet
基于改进UNet的双域融合X射线CT图像环形伪影抑制
相关领域
人工智能
轮廓波
工件(错误)
计算机视觉
图像质量
计算机科学
峰值信噪比
图像融合
模式识别(心理学)
均方误差
领域(数学分析)
图像(数学)
戒指(化学)
噪音(视频)
相似性(几何)
数学
统计
小波变换
数学分析
化学
有机化学
小波
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其它 | The ring artifact is a typical artifact in X-ray Computed Tomography (CT) images, the existence of which can reduce the image's quality, change the structure and details and affects the interpretation of image information. This paper conducts research from two aspects: tomographic images and sinograms, and designs a dual-domain artifact suppression network. By introducing the Inception module and the residual module, the network's ability to extract features is improved, and the gradient diffusion is suppressed. By customizing the loss function, the network's recognition of ring artifacts is improved and the network's convergence is accelerated. Finally, the outputs of the dual-domain are fused based on the Nonsubsampled Contourlet Transform (NSCT) fusion |
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