一幅受伪影侵蚀的图片分一般为两个部分伪影侵蚀部分和无侵蚀部分设 表示受伪影影响的CT图像域 表示无伪影影响的CT图像域去除伪影侵蚀需要确立 到 的映射关系 将受伪影干扰的数据 转化为不受伪影干扰的数据 。利用ddpm架构逐步去噪的特性和显式的图像建模能力将伪影的复杂噪声模式由原图像中去除。翻译成英文

An image affected by pseudo-shadow erosion can generally be divided into two parts: the pseudo-shadow erosion part and the unaffected part. Let represent the CT image domain affected by pseudo-shadow, and represent the CT image domain unaffected by pseudo-shadow. To remove the pseudo-shadow erosion, it is necessary to establish a mapping relationship from to , converting the data affected by pseudo-shadow interference into data unaffected by pseudo-shadow interference. By utilizing the characteristics of the ddpm architecture in step-by-step denoising and explicit image modeling ability, the complex noise patterns of pseudo-shadow can be removed from the original image