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System and method for removing Gibbs artifact in medical imaging system

机译:去除医学成像系统中的GIBBS伪影的系统和方法

摘要

The present disclosure is related to systems and methods for image processing. The method may include obtaining a first set of image data. The method may also include generating a second set of image data by processing, based on a trained machine learning model, the first set of image data. The second set of image data may have a relatively high resolution and/or a relatively low level of artifacts with respect to the first set of image data. The method may further include generating a target image by performing a weighted fusion on the first set of image data and the second set of image data.
机译:本公开涉及用于图像处理的系统和方法。 该方法可以包括获得第一组图像数据。 该方法还可以包括通过处理基于训练的机器学习模型,第一组图像数据来生成第二组图像数据。 第二组图像数据可以具有相对于第一组图像数据的相对高分辨率和/或相对低的伪像。 该方法还可以包括通过对第一组图像数据和第二组图像数据执行加权融合来生成目标图像。

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